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You searched for subject:(Landmark localization). Showing records 1 – 14 of 14 total matches.

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Vanderbilt University

1. Gordon, Stephen Michael. Cognitive map generation for localization and navigation from 3-D laser scan images.

Degree: MS, Electrical Engineering, 2005, Vanderbilt University

 In order to localize itself within an environment as well as navigate through an environment a mobile robot must have some idea of the layout… (more)

Subjects/Keywords: localization; landmark; cognitive map; navigation

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

APA (6th Edition):

Gordon, S. M. (2005). Cognitive map generation for localization and navigation from 3-D laser scan images. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11800

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):

Gordon, Stephen Michael. “Cognitive map generation for localization and navigation from 3-D laser scan images.” 2005. Thesis, Vanderbilt University. Accessed April 23, 2021. http://hdl.handle.net/1803/11800.

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

MLA Handbook (7th Edition):

Gordon, Stephen Michael. “Cognitive map generation for localization and navigation from 3-D laser scan images.” 2005. Web. 23 Apr 2021.

Vancouver:

Gordon SM. Cognitive map generation for localization and navigation from 3-D laser scan images. [Internet] [Thesis]. Vanderbilt University; 2005. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1803/11800.

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

Council of Science Editors:

Gordon SM. Cognitive map generation for localization and navigation from 3-D laser scan images. [Thesis]. Vanderbilt University; 2005. Available from: http://hdl.handle.net/1803/11800

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


Boston University

2. Breslav, Mikhail. 3D pose estimation of flying animals in multi-view video datasets.

Degree: PhD, Computer Science, 2016, Boston University

 Flying animals such as bats, birds, and moths are actively studied by researchers wanting to better understand these animals’ behavior and flight characteristics. Towards this… (more)

Subjects/Keywords: Computer science; 3D pose estimation; Computer vision; Flying animals; Hawkmoth; Landmark annotation; Localization

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APA (6th Edition):

Breslav, M. (2016). 3D pose estimation of flying animals in multi-view video datasets. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/19720

Chicago Manual of Style (16th Edition):

Breslav, Mikhail. “3D pose estimation of flying animals in multi-view video datasets.” 2016. Doctoral Dissertation, Boston University. Accessed April 23, 2021. http://hdl.handle.net/2144/19720.

MLA Handbook (7th Edition):

Breslav, Mikhail. “3D pose estimation of flying animals in multi-view video datasets.” 2016. Web. 23 Apr 2021.

Vancouver:

Breslav M. 3D pose estimation of flying animals in multi-view video datasets. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2144/19720.

Council of Science Editors:

Breslav M. 3D pose estimation of flying animals in multi-view video datasets. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/19720

3. Skibinski, Sebastian. Extraction, localization, and fusion of collective vehicle data.

Degree: 2019, Technische Universität Dortmund

 Maps representing the detailed features of the road network are becoming more and more important for self-driving vehicles and next generation driver assistance systems. The… (more)

Subjects/Keywords: Collective vehicle data (CVD); Vehicle data extraction; Precise vehicle localization; Sensor data fusion; Simultaneous localization and mapping (SLAM); Clustering of landmark data; Point-shaped landmark fusion; Complex landmark fusion; Areal data fusion; Collective vehicle data processing architecture and storage; 004; SLAM-Verfahren; Datenfusion; Autonomes Fahrzeug; Fahrerassistenzsystem; Landmarke

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APA (6th Edition):

Skibinski, S. (2019). Extraction, localization, and fusion of collective vehicle data. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-20128

Chicago Manual of Style (16th Edition):

Skibinski, Sebastian. “Extraction, localization, and fusion of collective vehicle data.” 2019. Doctoral Dissertation, Technische Universität Dortmund. Accessed April 23, 2021. http://dx.doi.org/10.17877/DE290R-20128.

MLA Handbook (7th Edition):

Skibinski, Sebastian. “Extraction, localization, and fusion of collective vehicle data.” 2019. Web. 23 Apr 2021.

Vancouver:

Skibinski S. Extraction, localization, and fusion of collective vehicle data. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2019. [cited 2021 Apr 23]. Available from: http://dx.doi.org/10.17877/DE290R-20128.

Council of Science Editors:

Skibinski S. Extraction, localization, and fusion of collective vehicle data. [Doctoral Dissertation]. Technische Universität Dortmund; 2019. Available from: http://dx.doi.org/10.17877/DE290R-20128


Brno University of Technology

4. Szöllösi, Albert. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.

Degree: 2020, Brno University of Technology

 This thesis offers possible solution to automatic 3D dental scan landmark localization. These scans are used in dental crown design to make the design process… (more)

Subjects/Keywords: hlboké učenie; analýza medicínskych obrazových dát; lokalizácia landmarkov; dentálny sken; deep learning; medical image data analysis; landmark localization; dental scan

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APA (6th Edition):

Szöllösi, A. (2020). Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/191450

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):

Szöllösi, Albert. “Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/191450.

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

MLA Handbook (7th Edition):

Szöllösi, Albert. “Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.” 2020. Web. 23 Apr 2021.

Vancouver:

Szöllösi A. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/191450.

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

Council of Science Editors:

Szöllösi A. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/191450

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


Freie Universität Berlin

5. Spangenberg, Robert. Landmarkenbasierte Lokalisierung für autonome Fahrzeuge.

Degree: 2016, Freie Universität Berlin

 Das autonome Transportwesen wird zu deutlichen Vorteilen im Bereich der Sicherheit, Ökonomie und Ökologie führen. Obwohl die dafür notwendige Technologie schon seit mehreren Dekaden ein… (more)

Subjects/Keywords: localization; autonomous vehicle; landmark; mapping; stereo vision; automotive stereo; 000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik

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APA (6th Edition):

Spangenberg, R. (2016). Landmarkenbasierte Lokalisierung für autonome Fahrzeuge. (Thesis). Freie Universität Berlin. Retrieved from http://dx.doi.org/10.17169/refubium-7267

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):

Spangenberg, Robert. “Landmarkenbasierte Lokalisierung für autonome Fahrzeuge.” 2016. Thesis, Freie Universität Berlin. Accessed April 23, 2021. http://dx.doi.org/10.17169/refubium-7267.

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

MLA Handbook (7th Edition):

Spangenberg, Robert. “Landmarkenbasierte Lokalisierung für autonome Fahrzeuge.” 2016. Web. 23 Apr 2021.

Vancouver:

Spangenberg R. Landmarkenbasierte Lokalisierung für autonome Fahrzeuge. [Internet] [Thesis]. Freie Universität Berlin; 2016. [cited 2021 Apr 23]. Available from: http://dx.doi.org/10.17169/refubium-7267.

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

Council of Science Editors:

Spangenberg R. Landmarkenbasierte Lokalisierung für autonome Fahrzeuge. [Thesis]. Freie Universität Berlin; 2016. Available from: http://dx.doi.org/10.17169/refubium-7267

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


Brno University of Technology

6. Szöllösi, Albert. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.

Degree: 2020, Brno University of Technology

 This thesis offers possible solution to automatic 3D dental scan landmark localization. These scans are used in dental crown design and digital orthodontics to make… (more)

Subjects/Keywords: hlboké učenie; analýza medicínskych obrazových dát; lokalizácia landmarkov; dentálny sken; deep learning; medical image data analysis; landmark localization; dental scan

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

APA (6th Edition):

Szöllösi, A. (2020). Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/194957

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):

Szöllösi, Albert. “Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/194957.

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

MLA Handbook (7th Edition):

Szöllösi, Albert. “Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis.” 2020. Web. 23 Apr 2021.

Vancouver:

Szöllösi A. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/194957.

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

Council of Science Editors:

Szöllösi A. Hluboké neuronové sítě pro analýzu medicínských obrazových dat: Deep Learning for Medical Image Analysis. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/194957

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

7. Wang, Dong. Image-based Vehicle Localization.

Degree: MS, Computer Engineering, 2019, Virginia Tech

 In modern days, global positioning system (GPS) is the major approach to locate positions. However, GPS is not as reliable as we thought. Under some… (more)

Subjects/Keywords: image-based; vehicle localization; text landmark

localization model is based on text landmark. Even though the traffic between the query and Google… …landmark pairing, and result evaluation of four aspects. • Propose three localization model… …19 3.3 Partial Landmark Sample… …27 4.2 Landmark Pairing Sample… …ancient time. Human has gone through a long history in localization and navigation techniques… 

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APA (6th Edition):

Wang, D. (2019). Image-based Vehicle Localization. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90795

Chicago Manual of Style (16th Edition):

Wang, Dong. “Image-based Vehicle Localization.” 2019. Masters Thesis, Virginia Tech. Accessed April 23, 2021. http://hdl.handle.net/10919/90795.

MLA Handbook (7th Edition):

Wang, Dong. “Image-based Vehicle Localization.” 2019. Web. 23 Apr 2021.

Vancouver:

Wang D. Image-based Vehicle Localization. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10919/90795.

Council of Science Editors:

Wang D. Image-based Vehicle Localization. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90795


Queensland University of Technology

8. Huang, Henry. Bearing-only SLAM : a vision-based navigation system for autonomous robots.

Degree: 2008, Queensland University of Technology

 To navigate successfully in a previously unexplored environment, a mobile robot must be able to estimate the spatial relationships of the objects of interest accurately.… (more)

Subjects/Keywords: robot navigation, mobile robot, autonomous lawnmower, household lawnmower, simultaneous localization and mapping, bearing-only SLAM, visual SLAM, landmark initialization, localization, mapping, omnidirectional camera, stereo vision; structure from motion, indistinguishable landmark, unknown data association, particle filtering, probability density function, object occlusion

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APA (6th Edition):

Huang, H. (2008). Bearing-only SLAM : a vision-based navigation system for autonomous robots. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/28599/

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):

Huang, Henry. “Bearing-only SLAM : a vision-based navigation system for autonomous robots.” 2008. Thesis, Queensland University of Technology. Accessed April 23, 2021. https://eprints.qut.edu.au/28599/.

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

MLA Handbook (7th Edition):

Huang, Henry. “Bearing-only SLAM : a vision-based navigation system for autonomous robots.” 2008. Web. 23 Apr 2021.

Vancouver:

Huang H. Bearing-only SLAM : a vision-based navigation system for autonomous robots. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2021 Apr 23]. Available from: https://eprints.qut.edu.au/28599/.

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

Council of Science Editors:

Huang H. Bearing-only SLAM : a vision-based navigation system for autonomous robots. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/28599/

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


Brno University of Technology

9. Pilch, Tomasz. Simultalní lokalizace, mapování a vytváření modelu prostředí pro autonomní robotiku: SLAM methods and tools for building world models in autonomous robotics.

Degree: 2019, Brno University of Technology

This master thesis explains what is SLAM and reprezents possibilities of implementation. The main goal is to implement chosen algorithm to create map and process measured data from LIDAR sensor. Advisors/Committee Members: Matoušek, Radomil (advisor), Krček, Petr (referee).

Subjects/Keywords: Simultánní lokalizace a mapování; SLAM; implementace SLAM; extrahování důležitých charakteristik; LIDAR; Simultaneous localization and mapping; SLAM; implementation of SLAM; landmark extraction; LIDAR

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APA (6th Edition):

Pilch, T. (2019). Simultalní lokalizace, mapování a vytváření modelu prostředí pro autonomní robotiku: SLAM methods and tools for building world models in autonomous robotics. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/60909

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):

Pilch, Tomasz. “Simultalní lokalizace, mapování a vytváření modelu prostředí pro autonomní robotiku: SLAM methods and tools for building world models in autonomous robotics.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/60909.

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

MLA Handbook (7th Edition):

Pilch, Tomasz. “Simultalní lokalizace, mapování a vytváření modelu prostředí pro autonomní robotiku: SLAM methods and tools for building world models in autonomous robotics.” 2019. Web. 23 Apr 2021.

Vancouver:

Pilch T. Simultalní lokalizace, mapování a vytváření modelu prostředí pro autonomní robotiku: SLAM methods and tools for building world models in autonomous robotics. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/60909.

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

Council of Science Editors:

Pilch T. Simultalní lokalizace, mapování a vytváření modelu prostředí pro autonomní robotiku: SLAM methods and tools for building world models in autonomous robotics. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/60909

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


Kaunas University of Technology

10. Martusevičius, Vitalijus. Mikrosensorinio tinklo autolokacijos sistemos sudarymas ir tyrimas.

Degree: Master, Informatics, 2007, Kaunas University of Technology

Mikrosensoriniai tinklai sudaryti iš daug mažų nepriklausomų baterijomis maitinamų įrenginių, pasižyminčių nedideliu energijos suvartojimu ir maža savikaina. Tokio tipo tinkluose koordinačių nustatymas yra sudėtingas uždavinys,… (more)

Subjects/Keywords: Sensorius; Autolokacijos sistema; Mikrosensorinis tinklas; Tinklo mazgas; Autolokacijos algoritmas; Wireless sensor network; Localization system; Landmark; Ad hoc networks; Self-localization algorithm

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APA (6th Edition):

Martusevičius, Vitalijus. (2007). Mikrosensorinio tinklo autolokacijos sistemos sudarymas ir tyrimas. (Masters Thesis). Kaunas University of Technology. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_143949-08190 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Martusevičius, Vitalijus. “Mikrosensorinio tinklo autolokacijos sistemos sudarymas ir tyrimas.” 2007. Masters Thesis, Kaunas University of Technology. Accessed April 23, 2021. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_143949-08190 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Martusevičius, Vitalijus. “Mikrosensorinio tinklo autolokacijos sistemos sudarymas ir tyrimas.” 2007. Web. 23 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Martusevičius, Vitalijus. Mikrosensorinio tinklo autolokacijos sistemos sudarymas ir tyrimas. [Internet] [Masters thesis]. Kaunas University of Technology; 2007. [cited 2021 Apr 23]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_143949-08190 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Martusevičius, Vitalijus. Mikrosensorinio tinklo autolokacijos sistemos sudarymas ir tyrimas. [Masters Thesis]. Kaunas University of Technology; 2007. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_143949-08190 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Brno University of Technology

11. Hrbáček, Jan. Navigation and Information System for Visually Impaired: Navigation and Information System for Visually Impaired.

Degree: 2019, Brno University of Technology

 Visual impairment is one of the most widespread physical handicaps  – as much as 3 % of the world's population suffers from visual impairment or… (more)

Subjects/Keywords: pěší lokalizace; fúze dat; unscented Kalmánův filtr; particle filtr; zpracování obrazu; detekce význačných bodů prostředí; plánování trasy; fuzzy logika; Pedestrian Localization; Data Fusion; Unscented Kalman Filter; Particle Filter; Image Processing; Natural Landmark Detection; Path Planning; Fuzzy Logic

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APA (6th Edition):

Hrbáček, J. (2019). Navigation and Information System for Visually Impaired: Navigation and Information System for Visually Impaired. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/137351

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):

Hrbáček, Jan. “Navigation and Information System for Visually Impaired: Navigation and Information System for Visually Impaired.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/137351.

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

MLA Handbook (7th Edition):

Hrbáček, Jan. “Navigation and Information System for Visually Impaired: Navigation and Information System for Visually Impaired.” 2019. Web. 23 Apr 2021.

Vancouver:

Hrbáček J. Navigation and Information System for Visually Impaired: Navigation and Information System for Visually Impaired. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/137351.

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

Council of Science Editors:

Hrbáček J. Navigation and Information System for Visually Impaired: Navigation and Information System for Visually Impaired. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/137351

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


The Ohio State University

12. Wang, Jue. Modeling and Matching of Landmarks for Automation of Mars Rover Localization.

Degree: PhD, Geodetic Science and Surveying, 2008, The Ohio State University

 The Mars Exploration Rover (MER) mission, begun in January 2004, has been extremely successful. However, decision-making for many operation tasks of the current MER mission… (more)

Subjects/Keywords: Engineering; rover localization; landmark; tie points; cross-site; rock modeling; pattern matching; model matching; fault detection

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APA (6th Edition):

Wang, J. (2008). Modeling and Matching of Landmarks for Automation of Mars Rover Localization. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1213192082

Chicago Manual of Style (16th Edition):

Wang, Jue. “Modeling and Matching of Landmarks for Automation of Mars Rover Localization.” 2008. Doctoral Dissertation, The Ohio State University. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1213192082.

MLA Handbook (7th Edition):

Wang, Jue. “Modeling and Matching of Landmarks for Automation of Mars Rover Localization.” 2008. Web. 23 Apr 2021.

Vancouver:

Wang J. Modeling and Matching of Landmarks for Automation of Mars Rover Localization. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1213192082.

Council of Science Editors:

Wang J. Modeling and Matching of Landmarks for Automation of Mars Rover Localization. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1213192082


Penn State University

13. DeAngelo, Mark Patrick. Landmark-Aided Localization for Air Vehicles Using Learned Object Detectors.

Degree: 2016, Penn State University

 This research presents two methods to localize an aircraft without GPS using fixed landmarks observed from an optical sensor. Onboard absolute localization is useful for… (more)

Subjects/Keywords: localization; feature-based navigation; UAV; UAS; navigation; computer vision; landmark detection; object detection; cascade object detector; bag of words; bag of visual words; bag of keypoints; SVM; visual flight rules; VFR; image processing; UUV; AUV; sonar; underwater; airplane; quadcopter; aircraft; unmanned aerial vehicle; unmanned aerial system; remotely piloted vehicle; RPV; unmanned underwater vehicle; autonomous underwater vehicle; localisation

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

APA (6th Edition):

DeAngelo, M. P. (2016). Landmark-Aided Localization for Air Vehicles Using Learned Object Detectors. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13333mpd5047

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):

DeAngelo, Mark Patrick. “Landmark-Aided Localization for Air Vehicles Using Learned Object Detectors.” 2016. Thesis, Penn State University. Accessed April 23, 2021. https://submit-etda.libraries.psu.edu/catalog/13333mpd5047.

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

MLA Handbook (7th Edition):

DeAngelo, Mark Patrick. “Landmark-Aided Localization for Air Vehicles Using Learned Object Detectors.” 2016. Web. 23 Apr 2021.

Vancouver:

DeAngelo MP. Landmark-Aided Localization for Air Vehicles Using Learned Object Detectors. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Apr 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/13333mpd5047.

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

Council of Science Editors:

DeAngelo MP. Landmark-Aided Localization for Air Vehicles Using Learned Object Detectors. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13333mpd5047

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

14. Honari, Sina. Feature extraction on faces : from landmark localization to depth estimation.

Degree: 2019, Université de Montréal

Subjects/Keywords: Neural networks; Deep learning; Convolutional networks; Supervised learning; Unsupervised learning; Semi-supervised learning; Coarse-to-fine architectures; Landmark localization; Depth estimation; Face rotation; Face replacement; Réseaux neuronaux; Apprentissage profond; Réseaux neuronaux de convolution; Apprentissage supervisé; Apprentissage non-supervisé; Apprentissage semi-supervisé; Architectures grossières à fines; Localisation de points clés; Estimation de la profondeur; Rotation de visage; Échange de visage; Applied Sciences - Artificial Intelligence / Sciences appliqués et technologie - Intelligence artificielle (UMI : 0800)

…107 Chapter 8. Improving Landmark Localization with Semi-Supervised Learning… …171 x List of Tables 4.1 Landmark localization comparison in MultiPIE… …45 2.4 Cascade architecture for landmark localization… …localization or keypoint detection. Landmark localization is used to solve other tasks of interest… …fashion and clothing industry) are applications of full body landmark localization. While… 

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

APA (6th Edition):

Honari, S. (2019). Feature extraction on faces : from landmark localization to depth estimation. (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/22658

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):

Honari, Sina. “Feature extraction on faces : from landmark localization to depth estimation.” 2019. Thesis, Université de Montréal. Accessed April 23, 2021. http://hdl.handle.net/1866/22658.

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

MLA Handbook (7th Edition):

Honari, Sina. “Feature extraction on faces : from landmark localization to depth estimation.” 2019. Web. 23 Apr 2021.

Vancouver:

Honari S. Feature extraction on faces : from landmark localization to depth estimation. [Internet] [Thesis]. Université de Montréal; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1866/22658.

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

Council of Science Editors:

Honari S. Feature extraction on faces : from landmark localization to depth estimation. [Thesis]. Université de Montréal; 2019. Available from: http://hdl.handle.net/1866/22658

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

.