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You searched for subject:(3D object detection). Showing records 1 – 30 of 34 total matches.

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Delft University of Technology

1. GAO, Xinyu (author). Sensor Data Fusion of Lidar and Camera for Road User Detection.

Degree: 2018, Delft University of Technology

Object detection is one of the most important research topics in autonomous vehicles. The detection systems of autonomous vehicles nowadays are mostly image-based ones which… (more)

Subjects/Keywords: 3D object detection; Lidar; Camera; sensor fusion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

GAO, X. (. (2018). Sensor Data Fusion of Lidar and Camera for Road User Detection. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a

Chicago Manual of Style (16th Edition):

GAO, Xinyu (author). “Sensor Data Fusion of Lidar and Camera for Road User Detection.” 2018. Masters Thesis, Delft University of Technology. Accessed January 21, 2021. http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a.

MLA Handbook (7th Edition):

GAO, Xinyu (author). “Sensor Data Fusion of Lidar and Camera for Road User Detection.” 2018. Web. 21 Jan 2021.

Vancouver:

GAO X(. Sensor Data Fusion of Lidar and Camera for Road User Detection. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 21]. Available from: http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a.

Council of Science Editors:

GAO X(. Sensor Data Fusion of Lidar and Camera for Road User Detection. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a


University of Technology, Sydney

2. Wu, Kanzhi. Action for perception : active object recognition and pose estimation in cluttered environments.

Degree: 2017, University of Technology, Sydney

Object recognition and localisation are indispensable competency for service robots in everyday environments like offices and kitchens. Presence of similar objects that can only be… (more)

Subjects/Keywords: Object recognition.; 3D textured object detection.; Image processing.

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APA (6th Edition):

Wu, K. (2017). Action for perception : active object recognition and pose estimation in cluttered environments. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/120185

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Kanzhi. “Action for perception : active object recognition and pose estimation in cluttered environments.” 2017. Thesis, University of Technology, Sydney. Accessed January 21, 2021. http://hdl.handle.net/10453/120185.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Kanzhi. “Action for perception : active object recognition and pose estimation in cluttered environments.” 2017. Web. 21 Jan 2021.

Vancouver:

Wu K. Action for perception : active object recognition and pose estimation in cluttered environments. [Internet] [Thesis]. University of Technology, Sydney; 2017. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10453/120185.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu K. Action for perception : active object recognition and pose estimation in cluttered environments. [Thesis]. University of Technology, Sydney; 2017. Available from: http://hdl.handle.net/10453/120185

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

3. Bhanushali, Darshan Ramesh. Multi-Sensor Fusion for 3D Object Detection.

Degree: MS, Computer Engineering, 2020, Rochester Institute of Technology

  Sensing and modelling of the surrounding environment is crucial for solving many of the problems in intelligent machines like self-driving cars, autonomous robots, and… (more)

Subjects/Keywords: 3D object detection; Augmentation; LiDAR; Pointcloud; Real-time; RGB

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APA (6th Edition):

Bhanushali, D. R. (2020). Multi-Sensor Fusion for 3D Object Detection. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10526

Chicago Manual of Style (16th Edition):

Bhanushali, Darshan Ramesh. “Multi-Sensor Fusion for 3D Object Detection.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed January 21, 2021. https://scholarworks.rit.edu/theses/10526.

MLA Handbook (7th Edition):

Bhanushali, Darshan Ramesh. “Multi-Sensor Fusion for 3D Object Detection.” 2020. Web. 21 Jan 2021.

Vancouver:

Bhanushali DR. Multi-Sensor Fusion for 3D Object Detection. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Jan 21]. Available from: https://scholarworks.rit.edu/theses/10526.

Council of Science Editors:

Bhanushali DR. Multi-Sensor Fusion for 3D Object Detection. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10526


University of Toronto

4. Pon, Alexander. Leveraging Proposals and Shape Reconstruction for Monocular 3D Object Detection and Object-centric Stereo Matching for 3D Object Detection.

Degree: 2019, University of Toronto

Safe autonomous driving requires reliable 3D object detection-the task of estimating 3D bounding boxes for objects of interest in the scene. This thesis introduces a… (more)

Subjects/Keywords: 3D Object Detection; Autonomous Driving; Autonomous Vehicles; Scene Understanding; 0771

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pon, A. (2019). Leveraging Proposals and Shape Reconstruction for Monocular 3D Object Detection and Object-centric Stereo Matching for 3D Object Detection. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/98290

Chicago Manual of Style (16th Edition):

Pon, Alexander. “Leveraging Proposals and Shape Reconstruction for Monocular 3D Object Detection and Object-centric Stereo Matching for 3D Object Detection.” 2019. Masters Thesis, University of Toronto. Accessed January 21, 2021. http://hdl.handle.net/1807/98290.

MLA Handbook (7th Edition):

Pon, Alexander. “Leveraging Proposals and Shape Reconstruction for Monocular 3D Object Detection and Object-centric Stereo Matching for 3D Object Detection.” 2019. Web. 21 Jan 2021.

Vancouver:

Pon A. Leveraging Proposals and Shape Reconstruction for Monocular 3D Object Detection and Object-centric Stereo Matching for 3D Object Detection. [Internet] [Masters thesis]. University of Toronto; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/1807/98290.

Council of Science Editors:

Pon A. Leveraging Proposals and Shape Reconstruction for Monocular 3D Object Detection and Object-centric Stereo Matching for 3D Object Detection. [Masters Thesis]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/98290


Delft University of Technology

5. Arya Senna Abdul Rachman, Arya (author). 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties.

Degree: 2017, Delft University of Technology

The recent advancement of the autonomous vehicle has raised the need for reliable environmental perception. This is evident, as an autonomous vehicle has to perceive… (more)

Subjects/Keywords: Multi-object Tracking; Vehicle Perception; 3D LIDAR; Object detection; Object tracking; Probabilistic Tracking; Autonomous driving; Machine vision; Adaptive Filtering; Heuristic Rules

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Arya Senna Abdul Rachman, A. (. (2017). 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736

Chicago Manual of Style (16th Edition):

Arya Senna Abdul Rachman, Arya (author). “3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties.” 2017. Masters Thesis, Delft University of Technology. Accessed January 21, 2021. http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736.

MLA Handbook (7th Edition):

Arya Senna Abdul Rachman, Arya (author). “3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties.” 2017. Web. 21 Jan 2021.

Vancouver:

Arya Senna Abdul Rachman A(. 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 21]. Available from: http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736.

Council of Science Editors:

Arya Senna Abdul Rachman A(. 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736

6. Bao, Yingze. Geometric and Semantic Scene Understanding.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Estimating the 3D structure of a scene and recognizing scene elements are two kernel functions supporting many artificial intelligence applications. The ability to achieve these… (more)

Subjects/Keywords: Computer Vision; Object Detection; 3D Reconstruction; Structure from Motion; Layout Estimation; Computer Science; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bao, Y. (2014). Geometric and Semantic Scene Understanding. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107131

Chicago Manual of Style (16th Edition):

Bao, Yingze. “Geometric and Semantic Scene Understanding.” 2014. Doctoral Dissertation, University of Michigan. Accessed January 21, 2021. http://hdl.handle.net/2027.42/107131.

MLA Handbook (7th Edition):

Bao, Yingze. “Geometric and Semantic Scene Understanding.” 2014. Web. 21 Jan 2021.

Vancouver:

Bao Y. Geometric and Semantic Scene Understanding. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/2027.42/107131.

Council of Science Editors:

Bao Y. Geometric and Semantic Scene Understanding. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107131


Delft University of Technology

7. Jargot, Dominik (author). Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving.

Degree: 2019, Delft University of Technology

Nowadays, autonomous driving is a trending topic in the automotive field. One of the most crucial challenges of autonomous driving research is environment perception. Currently,… (more)

Subjects/Keywords: 3D object detection; Thesis; Intelligent Vehicles; Deep Learning; Machine Learning; Camera; Lidar

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jargot, D. (. (2019). Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6389d77c-007d-455f-8e84-10a4f9b57a9d

Chicago Manual of Style (16th Edition):

Jargot, Dominik (author). “Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving.” 2019. Masters Thesis, Delft University of Technology. Accessed January 21, 2021. http://resolver.tudelft.nl/uuid:6389d77c-007d-455f-8e84-10a4f9b57a9d.

MLA Handbook (7th Edition):

Jargot, Dominik (author). “Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving.” 2019. Web. 21 Jan 2021.

Vancouver:

Jargot D(. Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 21]. Available from: http://resolver.tudelft.nl/uuid:6389d77c-007d-455f-8e84-10a4f9b57a9d.

Council of Science Editors:

Jargot D(. Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:6389d77c-007d-455f-8e84-10a4f9b57a9d


KTH

8. Jacobzon, Gustaf. Multi-site Organ Detection in CT Images using Deep Learning.

Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH

When optimizing a controlled dose in radiotherapy, high resolution spatial information about healthy organs in close proximity to the malignant cells are necessary in… (more)

Subjects/Keywords: Organ Detection; Organs-at-risk; 3D Object Detection; Segmentation; Deep Learning; Machine Learning; Weakly-supervised Learning; YOLOv3; 3D U-Net; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik

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APA (6th Edition):

Jacobzon, G. (2020). Multi-site Organ Detection in CT Images using Deep Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279290

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jacobzon, Gustaf. “Multi-site Organ Detection in CT Images using Deep Learning.” 2020. Thesis, KTH. Accessed January 21, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279290.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jacobzon, Gustaf. “Multi-site Organ Detection in CT Images using Deep Learning.” 2020. Web. 21 Jan 2021.

Vancouver:

Jacobzon G. Multi-site Organ Detection in CT Images using Deep Learning. [Internet] [Thesis]. KTH; 2020. [cited 2021 Jan 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279290.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jacobzon G. Multi-site Organ Detection in CT Images using Deep Learning. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279290

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

9. Lee, Young Jin. Real-Time Object Motion and 3D Localization from Geometry.

Degree: PhD, Geodetic Science and Surveying, 2014, The Ohio State University

 Knowing the position of an object in real-time has tremendous meaning. The most widely used and well-known positioning system is GPS (Global Positioning System), which… (more)

Subjects/Keywords: Geographic Information Science; 3D positioning; 3D tracking; object detection; multiple cameras; motion from geometry; tracking from geometry; real-time 3D positioning; multiple camera tracking

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APA (6th Edition):

Lee, Y. J. (2014). Real-Time Object Motion and 3D Localization from Geometry. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773

Chicago Manual of Style (16th Edition):

Lee, Young Jin. “Real-Time Object Motion and 3D Localization from Geometry.” 2014. Doctoral Dissertation, The Ohio State University. Accessed January 21, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773.

MLA Handbook (7th Edition):

Lee, Young Jin. “Real-Time Object Motion and 3D Localization from Geometry.” 2014. Web. 21 Jan 2021.

Vancouver:

Lee YJ. Real-Time Object Motion and 3D Localization from Geometry. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2021 Jan 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773.

Council of Science Editors:

Lee YJ. Real-Time Object Motion and 3D Localization from Geometry. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773

10. Ghorpade, Vijaya Kumar. 3D Semantic SLAM of Indoor Environment with Single Depth Sensor : SLAM sémantique 3D de l'environnement intérieur avec capteur de profondeur simple.

Degree: Docteur es, Electronique et Systèmes, 2017, Clermont Auvergne

 Pour agir de manière autonome et intelligente dans un environnement, un robot mobile doit disposer de cartes. Une carte contient les informations spatiales sur l’environnement.… (more)

Subjects/Keywords: Caméras de temps de vol; Nuages de points 3D; Filtrage; Recalage; SLAM; Détection de plans; Segmentation; Reconnaissance; Détection; Classification d’objets; Apprentissage automatique; Time-of-flight cameras; 3D point cloud processing; Noise filters; Registration; SLAM; Plane detection; Segmentation; Object recognition; Object detection; Object classification; Machine learning

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APA (6th Edition):

Ghorpade, V. K. (2017). 3D Semantic SLAM of Indoor Environment with Single Depth Sensor : SLAM sémantique 3D de l'environnement intérieur avec capteur de profondeur simple. (Doctoral Dissertation). Clermont Auvergne. Retrieved from http://www.theses.fr/2017CLFAC085

Chicago Manual of Style (16th Edition):

Ghorpade, Vijaya Kumar. “3D Semantic SLAM of Indoor Environment with Single Depth Sensor : SLAM sémantique 3D de l'environnement intérieur avec capteur de profondeur simple.” 2017. Doctoral Dissertation, Clermont Auvergne. Accessed January 21, 2021. http://www.theses.fr/2017CLFAC085.

MLA Handbook (7th Edition):

Ghorpade, Vijaya Kumar. “3D Semantic SLAM of Indoor Environment with Single Depth Sensor : SLAM sémantique 3D de l'environnement intérieur avec capteur de profondeur simple.” 2017. Web. 21 Jan 2021.

Vancouver:

Ghorpade VK. 3D Semantic SLAM of Indoor Environment with Single Depth Sensor : SLAM sémantique 3D de l'environnement intérieur avec capteur de profondeur simple. [Internet] [Doctoral dissertation]. Clermont Auvergne; 2017. [cited 2021 Jan 21]. Available from: http://www.theses.fr/2017CLFAC085.

Council of Science Editors:

Ghorpade VK. 3D Semantic SLAM of Indoor Environment with Single Depth Sensor : SLAM sémantique 3D de l'environnement intérieur avec capteur de profondeur simple. [Doctoral Dissertation]. Clermont Auvergne; 2017. Available from: http://www.theses.fr/2017CLFAC085


University of Waterloo

11. Hurl, Braden. Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets.

Degree: 2019, University of Waterloo

 The purpose of this work is to increase the performance of autonomous vehicle 3D object detection using synthetic data. This work introduces the Precise Synthetic… (more)

Subjects/Keywords: autonomous vehicles; computer vision; synthetic data; cooperative perception; collaborative perception; collective perception; 3D object detection; multi-agent systems; autonomous robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hurl, B. (2019). Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15118

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hurl, Braden. “Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets.” 2019. Thesis, University of Waterloo. Accessed January 21, 2021. http://hdl.handle.net/10012/15118.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hurl, Braden. “Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets.” 2019. Web. 21 Jan 2021.

Vancouver:

Hurl B. Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10012/15118.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hurl B. Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15118

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. SYEDA MARIAM AHMED. 3D OBJECT DETECTION AND POSE ESTIMATION USING POINT CLOUDS.

Degree: 2019, National University of Singapore

Subjects/Keywords: 3D object detection; Edge-Aware PointNet; Bayesian Networks

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APA (6th Edition):

AHMED, S. M. (2019). 3D OBJECT DETECTION AND POSE ESTIMATION USING POINT CLOUDS. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/168817

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

AHMED, SYEDA MARIAM. “3D OBJECT DETECTION AND POSE ESTIMATION USING POINT CLOUDS.” 2019. Thesis, National University of Singapore. Accessed January 21, 2021. https://scholarbank.nus.edu.sg/handle/10635/168817.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

AHMED, SYEDA MARIAM. “3D OBJECT DETECTION AND POSE ESTIMATION USING POINT CLOUDS.” 2019. Web. 21 Jan 2021.

Vancouver:

AHMED SM. 3D OBJECT DETECTION AND POSE ESTIMATION USING POINT CLOUDS. [Internet] [Thesis]. National University of Singapore; 2019. [cited 2021 Jan 21]. Available from: https://scholarbank.nus.edu.sg/handle/10635/168817.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

AHMED SM. 3D OBJECT DETECTION AND POSE ESTIMATION USING POINT CLOUDS. [Thesis]. National University of Singapore; 2019. Available from: https://scholarbank.nus.edu.sg/handle/10635/168817

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Henderson, Paul Matthew. Advances in scene understanding : object detection, reconstruction, layouts, and inference.

Degree: PhD, 2019, University of Edinburgh

 The goal of scene understanding is to capture the full content of an image in a human-interpretable representation. This must describe the different objects present,… (more)

Subjects/Keywords: scene understanding; globally-consistent; image description; neural-network; object class detection; probabilistic generative models; 3D space; minimisation algorithms

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APA (6th Edition):

Henderson, P. M. (2019). Advances in scene understanding : object detection, reconstruction, layouts, and inference. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/35600

Chicago Manual of Style (16th Edition):

Henderson, Paul Matthew. “Advances in scene understanding : object detection, reconstruction, layouts, and inference.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed January 21, 2021. http://hdl.handle.net/1842/35600.

MLA Handbook (7th Edition):

Henderson, Paul Matthew. “Advances in scene understanding : object detection, reconstruction, layouts, and inference.” 2019. Web. 21 Jan 2021.

Vancouver:

Henderson PM. Advances in scene understanding : object detection, reconstruction, layouts, and inference. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/1842/35600.

Council of Science Editors:

Henderson PM. Advances in scene understanding : object detection, reconstruction, layouts, and inference. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/35600

14. Skalski, Tomasz. Object detection and pose estimation of randomly organized objects for a robotic bin picking system.

Degree: 2013, , School of Engineering

Today modern industry systems are almost fully automated. The high requirements regarding speed, flexibility, precision and reliability makes it in some cases very difficult… (more)

Subjects/Keywords: Bin-Picking; Object pose estimation; 3D image processing; Autocorrelation matching; Object detection; Computer Sciences; Datavetenskap (datalogi); Signal Processing; Signalbehandling; Software Engineering; Programvaruteknik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Skalski, T. (2013). Object detection and pose estimation of randomly organized objects for a robotic bin picking system. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2153

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Skalski, Tomasz. “Object detection and pose estimation of randomly organized objects for a robotic bin picking system.” 2013. Thesis, , School of Engineering. Accessed January 21, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2153.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Skalski, Tomasz. “Object detection and pose estimation of randomly organized objects for a robotic bin picking system.” 2013. Web. 21 Jan 2021.

Vancouver:

Skalski T. Object detection and pose estimation of randomly organized objects for a robotic bin picking system. [Internet] [Thesis]. , School of Engineering; 2013. [cited 2021 Jan 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2153.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Skalski T. Object detection and pose estimation of randomly organized objects for a robotic bin picking system. [Thesis]. , School of Engineering; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2153

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


York University

15. Soto, Eduardo R Corral. 3D Modelling for Improved Visual Traffic Analytics.

Degree: PhD, Computer Science and Engineering, 2018, York University

 Advanced Traffic Management Systems utilize diverse types of sensor networks with the goal of improving mobility and safety of transportation systems. These systems require information… (more)

Subjects/Keywords: Applied mathematics; Computer vision; Algorithms; Machine learning; Traffic surveillance; Camera calibration; 3D object detection; 3D modelling; Virtual reality; Road markings; Curved roads; mcmc; Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Soto, E. R. C. (2018). 3D Modelling for Improved Visual Traffic Analytics. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/34994

Chicago Manual of Style (16th Edition):

Soto, Eduardo R Corral. “3D Modelling for Improved Visual Traffic Analytics.” 2018. Doctoral Dissertation, York University. Accessed January 21, 2021. http://hdl.handle.net/10315/34994.

MLA Handbook (7th Edition):

Soto, Eduardo R Corral. “3D Modelling for Improved Visual Traffic Analytics.” 2018. Web. 21 Jan 2021.

Vancouver:

Soto ERC. 3D Modelling for Improved Visual Traffic Analytics. [Internet] [Doctoral dissertation]. York University; 2018. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10315/34994.

Council of Science Editors:

Soto ERC. 3D Modelling for Improved Visual Traffic Analytics. [Doctoral Dissertation]. York University; 2018. Available from: http://hdl.handle.net/10315/34994

16. SUN HAO. SEMANTIC PERCEPTION IN DAILY INDOOR ENVIRONMENTS.

Degree: 2018, National University of Singapore

Subjects/Keywords: Daily Indoor Environment; Semantic Perception; 2D Object Detection; Scene Recognition; Tabletop Robotic Grasp Detection; Amodal 3D Object Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

HAO, S. (2018). SEMANTIC PERCEPTION IN DAILY INDOOR ENVIRONMENTS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/149504

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

HAO, SUN. “SEMANTIC PERCEPTION IN DAILY INDOOR ENVIRONMENTS.” 2018. Thesis, National University of Singapore. Accessed January 21, 2021. http://scholarbank.nus.edu.sg/handle/10635/149504.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

HAO, SUN. “SEMANTIC PERCEPTION IN DAILY INDOOR ENVIRONMENTS.” 2018. Web. 21 Jan 2021.

Vancouver:

HAO S. SEMANTIC PERCEPTION IN DAILY INDOOR ENVIRONMENTS. [Internet] [Thesis]. National University of Singapore; 2018. [cited 2021 Jan 21]. Available from: http://scholarbank.nus.edu.sg/handle/10635/149504.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HAO S. SEMANTIC PERCEPTION IN DAILY INDOOR ENVIRONMENTS. [Thesis]. National University of Singapore; 2018. Available from: http://scholarbank.nus.edu.sg/handle/10635/149504

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ottawa

17. Solis Montero, Andres. Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking .

Degree: 2016, University of Ottawa

 During the course of this thesis, two scenarios are considered. In the first one, we contribute to feature extraction algorithms. In the second one, we… (more)

Subjects/Keywords: Computer Vision; Image Processing; Skeleton pruning; Object Detection; Model-free Tracking; Long-Term Tracking; Planar Detection; Ferns; Classifiers; Naive Bayes; VOT Challenge; Medial Axis; 3D Object; Binary Raster Shapes; Binary descriptors; fast HOG

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Solis Montero, A. (2016). Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/34830

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Solis Montero, Andres. “Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking .” 2016. Thesis, University of Ottawa. Accessed January 21, 2021. http://hdl.handle.net/10393/34830.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Solis Montero, Andres. “Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking .” 2016. Web. 21 Jan 2021.

Vancouver:

Solis Montero A. Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10393/34830.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Solis Montero A. Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/34830

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

18. Malík, Pavol. Detekce ruky uživatele v hloubkových datech: User Hand Detection in Depth Data.

Degree: 2019, Brno University of Technology

 The aim of this thesis is to detect hand of user above the interactive table and show its position with respect to the table. Used… (more)

Subjects/Keywords: Kinect; 3D; PCL; ROS; interaktívny stôl; detekcia objektov; detekcia rúk; mračno bodov; registrácia; porovnávanie šablónou; hĺbkové dáta; Kinect; 3D; PCL; ROS; interactive table; object detection; hand detection; pointcloud; registration; template matching; depth data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Malík, P. (2019). Detekce ruky uživatele v hloubkových datech: User Hand Detection in Depth Data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/62170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Malík, Pavol. “Detekce ruky uživatele v hloubkových datech: User Hand Detection in Depth Data.” 2019. Thesis, Brno University of Technology. Accessed January 21, 2021. http://hdl.handle.net/11012/62170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Malík, Pavol. “Detekce ruky uživatele v hloubkových datech: User Hand Detection in Depth Data.” 2019. Web. 21 Jan 2021.

Vancouver:

Malík P. Detekce ruky uživatele v hloubkových datech: User Hand Detection in Depth Data. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/11012/62170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Malík P. Detekce ruky uživatele v hloubkových datech: User Hand Detection in Depth Data. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/62170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

19. van der Sluis, Joram (author). 3D Object Detection For Intelligent Vehicles.

Degree: 2020, Delft University of Technology

This master thesis presents an experimental study on 3D person localization (i.e., pedestrians, cyclists)in traffic scenes, using monocular vision and Light Detection And Ranging (LiDAR)… (more)

Subjects/Keywords: 3D object detection; Pedestrian detection; Vulnerable Road User; LiDAR; Camera; Intelligent Vehicles; Robotics; Point Cloud; Temporal fusion; 3D Person Localization; Intersection over Union; KITTI dataset; EuroCity Persons 2.5D dataset; LiDAR Points; Occlusion; Intensity; Distance; Experimental study

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van der Sluis, J. (. (2020). 3D Object Detection For Intelligent Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:55819905-53fb-41bd-839f-6e840216035a

Chicago Manual of Style (16th Edition):

van der Sluis, Joram (author). “3D Object Detection For Intelligent Vehicles.” 2020. Masters Thesis, Delft University of Technology. Accessed January 21, 2021. http://resolver.tudelft.nl/uuid:55819905-53fb-41bd-839f-6e840216035a.

MLA Handbook (7th Edition):

van der Sluis, Joram (author). “3D Object Detection For Intelligent Vehicles.” 2020. Web. 21 Jan 2021.

Vancouver:

van der Sluis J(. 3D Object Detection For Intelligent Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 21]. Available from: http://resolver.tudelft.nl/uuid:55819905-53fb-41bd-839f-6e840216035a.

Council of Science Editors:

van der Sluis J(. 3D Object Detection For Intelligent Vehicles. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:55819905-53fb-41bd-839f-6e840216035a


Brno University of Technology

20. Zítka, Michal. Detekce pohybu v obraze: Image Motion Detection.

Degree: 2018, Brno University of Technology

 This bachelor project dissert on detection of motion in image. Also sumary basic methods for detection of motion in image and method of segmentation using… (more)

Subjects/Keywords: Pohyb; počítačové vidění; detekce pohybu; analýza pohybu; analýza obrazu; sekvence; optický tok; detekce objektů; 2D; 3D; rozdíl; obraz; snímek; had; aktivní kontura.; Move; computer vision; motion detection; motion analysis; image analysis; sequence; optical flow; object detection; 2D; 3D; difference; image; picture; snake; active contour.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zítka, M. (2018). Detekce pohybu v obraze: Image Motion Detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/13859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zítka, Michal. “Detekce pohybu v obraze: Image Motion Detection.” 2018. Thesis, Brno University of Technology. Accessed January 21, 2021. http://hdl.handle.net/11012/13859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zítka, Michal. “Detekce pohybu v obraze: Image Motion Detection.” 2018. Web. 21 Jan 2021.

Vancouver:

Zítka M. Detekce pohybu v obraze: Image Motion Detection. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/11012/13859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zítka M. Detekce pohybu v obraze: Image Motion Detection. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/13859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Yu, Hanchao. Detection-based 3D-2D vertebra matching.

Degree: MS, Electrical & Computer Engr, 2019, University of Illinois – Urbana-Champaign

3D-2D medical image matching is a crucial task in image-guided surgery, image-guided radiation therapy and minimally invasive surgery. The task relies on identifying the correspondence… (more)

Subjects/Keywords: deep neural network; 3D-2D registration; object detection

…deep-learning-based object detection and generalized Hough transform. 2.1 3D-2D Image… …state-ofthe-art object detection techniques to address one of the important medical imaging… …challenging issue. Concretely, we propose a detection-based, end-to-end multimodal 3D CT-X-ray… …first step of our proposed method is to build a deep detector for vertebra detection in the 3D… …CT projection image. Recently, deep-learning-based object detection has achieved great… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, H. (2019). Detection-based 3D-2D vertebra matching. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/106170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Hanchao. “Detection-based 3D-2D vertebra matching.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed January 21, 2021. http://hdl.handle.net/2142/106170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Hanchao. “Detection-based 3D-2D vertebra matching.” 2019. Web. 21 Jan 2021.

Vancouver:

Yu H. Detection-based 3D-2D vertebra matching. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/2142/106170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu H. Detection-based 3D-2D vertebra matching. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/106170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Central Florida

22. Khan, Saad. Multi-view Approaches To Tracking, 3d Reconstruction And Object Class Detection.

Degree: 2008, University of Central Florida

 Multi-camera systems are becoming ubiquitous and have found application in a variety of domains including surveillance, immersive visualization, sports entertainment and movie special effects amongst… (more)

Subjects/Keywords: Computer vision; visual tracking; 3D reconstruction; object detection; Computer Sciences; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khan, S. (2008). Multi-view Approaches To Tracking, 3d Reconstruction And Object Class Detection. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/3506

Chicago Manual of Style (16th Edition):

Khan, Saad. “Multi-view Approaches To Tracking, 3d Reconstruction And Object Class Detection.” 2008. Doctoral Dissertation, University of Central Florida. Accessed January 21, 2021. https://stars.library.ucf.edu/etd/3506.

MLA Handbook (7th Edition):

Khan, Saad. “Multi-view Approaches To Tracking, 3d Reconstruction And Object Class Detection.” 2008. Web. 21 Jan 2021.

Vancouver:

Khan S. Multi-view Approaches To Tracking, 3d Reconstruction And Object Class Detection. [Internet] [Doctoral dissertation]. University of Central Florida; 2008. [cited 2021 Jan 21]. Available from: https://stars.library.ucf.edu/etd/3506.

Council of Science Editors:

Khan S. Multi-view Approaches To Tracking, 3d Reconstruction And Object Class Detection. [Doctoral Dissertation]. University of Central Florida; 2008. Available from: https://stars.library.ucf.edu/etd/3506

23. Gillsjö, David. Moving object detection in urban environments.

Degree: The Institute of Technology, 2012, Linköping UniversityLinköping University

  Successful and high precision localization is an important feature for autonomous vehicles in an urban environment. GPS solutions are not good on their own… (more)

Subjects/Keywords: 3D LiDAR; motion detection; moving object detection; urban environment; change detection; SLAM; dynamic environment

…that using only alignment errors may lead to a false detection of the static object to the… …3 3 6 9 10 3 Related work in SLAM and motion detection 3.1 Including moving objects in… …3.2.2 Detection of candidates . . . . . . . . 3.2.3 Classifying movement… …11 11 12 12 12 13 4 Motion detection using multiple viewpoints 4.1 Overview… …5.3.3 Segmentation related detection errors . . . 5.3.4 Occlusions… 

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APA (6th Edition):

Gillsjö, D. (2012). Moving object detection in urban environments. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gillsjö, David. “Moving object detection in urban environments.” 2012. Thesis, Linköping UniversityLinköping University. Accessed January 21, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gillsjö, David. “Moving object detection in urban environments.” 2012. Web. 21 Jan 2021.

Vancouver:

Gillsjö D. Moving object detection in urban environments. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2021 Jan 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gillsjö D. Moving object detection in urban environments. [Thesis]. Linköping UniversityLinköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Adeboye, Taiyelolu. Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control.

Degree: Mathematics and Natural Sciences, 2018, University of Gävle

  This report shows a robust and efficient implementation of a speed-optimized algorithm for object recognition, 3D real world location and tracking in real time.… (more)

Subjects/Keywords: Object detection; 3D reconstruction; Object tracking; Robot goalkeeper; C++; OpenCV; CUDA; MATLAB; Image processing; Machine vision; Linux OS; GPU; NVIDIA TX1; Stereolabs ZED; Robotics; Robotteknik och automation; Embedded Systems; Inbäddad systemteknik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Adeboye, T. (2018). Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Adeboye, Taiyelolu. “Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control.” 2018. Thesis, University of Gävle. Accessed January 21, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Adeboye, Taiyelolu. “Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control.” 2018. Web. 21 Jan 2021.

Vancouver:

Adeboye T. Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control. [Internet] [Thesis]. University of Gävle; 2018. [cited 2021 Jan 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adeboye T. Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control. [Thesis]. University of Gävle; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Curtin University of Technology

25. Kramer, Annika. Model based methods for locating, enhancing and recognising low resolution objects in video .

Degree: 2009, Curtin University of Technology

 Visual perception is our most important sense which enables us to detect and recognise objects even in low detail video scenes. While humans are able… (more)

Subjects/Keywords: object recognition; video surveillance; visual perception; object detection; video processing; person-specific shape information; face pose; 3D generic face model

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APA (6th Edition):

Kramer, A. (2009). Model based methods for locating, enhancing and recognising low resolution objects in video . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/585

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kramer, Annika. “Model based methods for locating, enhancing and recognising low resolution objects in video .” 2009. Thesis, Curtin University of Technology. Accessed January 21, 2021. http://hdl.handle.net/20.500.11937/585.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kramer, Annika. “Model based methods for locating, enhancing and recognising low resolution objects in video .” 2009. Web. 21 Jan 2021.

Vancouver:

Kramer A. Model based methods for locating, enhancing and recognising low resolution objects in video . [Internet] [Thesis]. Curtin University of Technology; 2009. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/20.500.11937/585.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kramer A. Model based methods for locating, enhancing and recognising low resolution objects in video . [Thesis]. Curtin University of Technology; 2009. Available from: http://hdl.handle.net/20.500.11937/585

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Truong, Quoc Hung. Knowledge-based 3D point clouds processing : Traitement 3D de nuages de points basé sur la connaissance.

Degree: Docteur es, Informatique, 2013, Université de Bourgogne

La modélisation de scènes réelles à travers la capture de données numériques 3D a été prouvée à la fois utile et applicable dans une variété… (more)

Subjects/Keywords: Traitement 3D; Nuages de points; Détection d’objets; Segmentation; Sélection d’algorithme; Systèmes basés connaissance; Modélisation des connaissances; Ontologies; Classification; 3D processing; Point clouds; Object detection; Segmentation; Algorithm selection; Knowledge-based systems; Knowledge modeling; Ontology; Classification; 005.1; 006.3; 516

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Truong, Q. H. (2013). Knowledge-based 3D point clouds processing : Traitement 3D de nuages de points basé sur la connaissance. (Doctoral Dissertation). Université de Bourgogne. Retrieved from http://www.theses.fr/2013DIJOS045

Chicago Manual of Style (16th Edition):

Truong, Quoc Hung. “Knowledge-based 3D point clouds processing : Traitement 3D de nuages de points basé sur la connaissance.” 2013. Doctoral Dissertation, Université de Bourgogne. Accessed January 21, 2021. http://www.theses.fr/2013DIJOS045.

MLA Handbook (7th Edition):

Truong, Quoc Hung. “Knowledge-based 3D point clouds processing : Traitement 3D de nuages de points basé sur la connaissance.” 2013. Web. 21 Jan 2021.

Vancouver:

Truong QH. Knowledge-based 3D point clouds processing : Traitement 3D de nuages de points basé sur la connaissance. [Internet] [Doctoral dissertation]. Université de Bourgogne; 2013. [cited 2021 Jan 21]. Available from: http://www.theses.fr/2013DIJOS045.

Council of Science Editors:

Truong QH. Knowledge-based 3D point clouds processing : Traitement 3D de nuages de points basé sur la connaissance. [Doctoral Dissertation]. Université de Bourgogne; 2013. Available from: http://www.theses.fr/2013DIJOS045


University of Michigan

27. Li, Xinju. Feature Points on Point-based Surface and Their Applications.

Degree: PhD, Computer Science & Engineering, 2009, University of Michigan

 Surface acquisition methods are becoming popular for many practical applications in manufacturing, art, and design. With the growing amount of geometric data, efficient tools for… (more)

Subjects/Keywords: Feature Detection; Point Signature; Surface Alignment; Surface Matching; 3D Object Recognition; Point-based Surface; Computer Science; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, X. (2009). Feature Points on Point-based Surface and Their Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62343

Chicago Manual of Style (16th Edition):

Li, Xinju. “Feature Points on Point-based Surface and Their Applications.” 2009. Doctoral Dissertation, University of Michigan. Accessed January 21, 2021. http://hdl.handle.net/2027.42/62343.

MLA Handbook (7th Edition):

Li, Xinju. “Feature Points on Point-based Surface and Their Applications.” 2009. Web. 21 Jan 2021.

Vancouver:

Li X. Feature Points on Point-based Surface and Their Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/2027.42/62343.

Council of Science Editors:

Li X. Feature Points on Point-based Surface and Their Applications. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62343

28. Leon, Hector Anadon. 3D Shape Detection for Augmented Reality.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

In previous work, 2D object recognition has shown exceptional results. However, it is not possible to sense the environment spatial information, where the objects… (more)

Subjects/Keywords: 3D Machine Learning; object detection; computer vision; shape; point cloud; Computer Sciences; Datavetenskap (datalogi)

object detection, 1 2 CHAPTER 1. INTRODUCTION shape segmentation, 3D reconstruction, etc… …method using Deep Neural networks for real-time 3D object detection and 3D shape reconstruction… …2.1, the first group corresponds to 3D object detection where 3D bounding boxes are placed… …several approaches about how 3D object detection can be performed: 2.5D, 3D and RGB only. In… …9 3D object detection Typical object detection predicts the category of an object along… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Leon, H. A. (2018). 3D Shape Detection for Augmented Reality. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Leon, Hector Anadon. “3D Shape Detection for Augmented Reality.” 2018. Thesis, KTH. Accessed January 21, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Leon, Hector Anadon. “3D Shape Detection for Augmented Reality.” 2018. Web. 21 Jan 2021.

Vancouver:

Leon HA. 3D Shape Detection for Augmented Reality. [Internet] [Thesis]. KTH; 2018. [cited 2021 Jan 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Leon HA. 3D Shape Detection for Augmented Reality. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

29. Mencner, Pavel. Rozpoznání typu vozidla z dohledové kamery: Fine-Grained Vehicle Recognition from Traffic Surveillance Camera.

Degree: 2018, Brno University of Technology

 The aim of this thesis is image based detection of vehicles from traffic surveillance camera and fine-grained vehicle type recognition (manufacturer and model). In the… (more)

Subjects/Keywords: zpracování obrazu; konvoluční neuronové sítě; analýza dopravy; dopravní dohledová kamera; detekce vozidel; jemná klasifikace typu vozidel; odhad kontury objektu; odhad směru k úběžníkům; 3D bounding box; Unpack; Tensorflow; Keras; Python; OpenCV; image processing; convolutional neural network; traffic analysis; traffic surveillance camera; vehicle detection; fine-grained vehicle type recognition; object contour estimation; vanishing point estimation; 3D bounding box; Tensorflow; Keras; Python; OpenCV

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mencner, P. (2018). Rozpoznání typu vozidla z dohledové kamery: Fine-Grained Vehicle Recognition from Traffic Surveillance Camera. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/85253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mencner, Pavel. “Rozpoznání typu vozidla z dohledové kamery: Fine-Grained Vehicle Recognition from Traffic Surveillance Camera.” 2018. Thesis, Brno University of Technology. Accessed January 21, 2021. http://hdl.handle.net/11012/85253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mencner, Pavel. “Rozpoznání typu vozidla z dohledové kamery: Fine-Grained Vehicle Recognition from Traffic Surveillance Camera.” 2018. Web. 21 Jan 2021.

Vancouver:

Mencner P. Rozpoznání typu vozidla z dohledové kamery: Fine-Grained Vehicle Recognition from Traffic Surveillance Camera. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/11012/85253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mencner P. Rozpoznání typu vozidla z dohledové kamery: Fine-Grained Vehicle Recognition from Traffic Surveillance Camera. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/85253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

30. Štencel, Jakub. Měření aktuální rychlosti vozidla: Measuring of Vehicle Instant Velocity.

Degree: 2019, Brno University of Technology

 The theoretical part of this paper summarizes the methods for motion analysis in an image. Inspected in detail are the methods used for motion detection(more)

Subjects/Keywords: Počítačové vidění; analýza obrazu; analýza pohybu; detekce pohybu; Houghova transformace; sekvence; kombinace metod; 2D; 3D; digitalizace; aproximace; šum; objekty; segmentace; metody zpracovaní; průměrování; optický tok; jas; rozdílové metody; korelace.; Computer vision; image analysis; motion analysis; detection movement; Hough transform; sequence; method combination; 2D; 3D; digitization; approximation; noise; object; segmentation; analysis methods; averaging; optical flow; luminance; difference methods; correlation.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Štencel, J. (2019). Měření aktuální rychlosti vozidla: Measuring of Vehicle Instant Velocity. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/13832

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Štencel, Jakub. “Měření aktuální rychlosti vozidla: Measuring of Vehicle Instant Velocity.” 2019. Thesis, Brno University of Technology. Accessed January 21, 2021. http://hdl.handle.net/11012/13832.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Štencel, Jakub. “Měření aktuální rychlosti vozidla: Measuring of Vehicle Instant Velocity.” 2019. Web. 21 Jan 2021.

Vancouver:

Štencel J. Měření aktuální rychlosti vozidla: Measuring of Vehicle Instant Velocity. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/11012/13832.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Štencel J. Měření aktuální rychlosti vozidla: Measuring of Vehicle Instant Velocity. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/13832

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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