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Dept: Mechanical Engineering

You searched for subject:(Computer vision AND machine learning applications ). Showing records 1 – 20 of 20 total matches.

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Virginia Tech

1. Burns, James Ian. Agricultural Crop Monitoring with Computer Vision.

Degree: MS, Mechanical Engineering, 2014, Virginia Tech

 Precision agriculture allows farmers to efficiently use their resources with site-specific applications. The current work looks to computer vision for the data collection method necessary… (more)

Subjects/Keywords: Computer Vision; Machine Learning; Agriculture; Multispectral; Automation

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APA (6th Edition):

Burns, J. I. (2014). Agricultural Crop Monitoring with Computer Vision. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52563

Chicago Manual of Style (16th Edition):

Burns, James Ian. “Agricultural Crop Monitoring with Computer Vision.” 2014. Masters Thesis, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/52563.

MLA Handbook (7th Edition):

Burns, James Ian. “Agricultural Crop Monitoring with Computer Vision.” 2014. Web. 18 Nov 2019.

Vancouver:

Burns JI. Agricultural Crop Monitoring with Computer Vision. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/52563.

Council of Science Editors:

Burns JI. Agricultural Crop Monitoring with Computer Vision. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/52563


Virginia Tech

2. Smith, Evan McLean. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.

Degree: MS, Mechanical Engineering, 2016, Virginia Tech

 One of the major application areas for UAVs is the automated traversing and inspection of infrastructure. Much of this infrastructure is linear, such as roads,… (more)

Subjects/Keywords: autonomous navigation; computer vision; linear infrastructure; machine learning; unmanned aerial vehicle (UAV)

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APA (6th Edition):

Smith, E. M. (2016). A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81448

Chicago Manual of Style (16th Edition):

Smith, Evan McLean. “A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.” 2016. Masters Thesis, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/81448.

MLA Handbook (7th Edition):

Smith, Evan McLean. “A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.” 2016. Web. 18 Nov 2019.

Vancouver:

Smith EM. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/81448.

Council of Science Editors:

Smith EM. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81448

3. Burton, William Stewart, II. Applied Deep Learning in Orthopaedics.

Degree: MS, Mechanical Engineering, 2019, U of Denver

  The reemergence of deep learning in recent years has led to its successful application in a wide variety of fields. As a subfield of… (more)

Subjects/Keywords: Computer vision; Convolutional neural networks; Deep learning; Machine learning; Orthopaedics; Computer-Aided Engineering and Design; Engineering; Mechanical Engineering

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APA (6th Edition):

Burton, William Stewart, I. (2019). Applied Deep Learning in Orthopaedics. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1568

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):

Burton, William Stewart, II. “Applied Deep Learning in Orthopaedics.” 2019. Thesis, U of Denver. Accessed November 18, 2019. https://digitalcommons.du.edu/etd/1568.

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

MLA Handbook (7th Edition):

Burton, William Stewart, II. “Applied Deep Learning in Orthopaedics.” 2019. Web. 18 Nov 2019.

Vancouver:

Burton, William Stewart I. Applied Deep Learning in Orthopaedics. [Internet] [Thesis]. U of Denver; 2019. [cited 2019 Nov 18]. Available from: https://digitalcommons.du.edu/etd/1568.

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

Council of Science Editors:

Burton, William Stewart I. Applied Deep Learning in Orthopaedics. [Thesis]. U of Denver; 2019. Available from: https://digitalcommons.du.edu/etd/1568

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


Virginia Tech

4. Steckenrider, John J. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification.

Degree: MS, Mechanical Engineering, 2017, Virginia Tech

 Humans have an outstanding ability to understand things about the world around them. We learn from our youngest years how to make sense of things… (more)

Subjects/Keywords: Bayesian classification; Crack detection; Road condition monitoring; Recursive Bayesian estimation; Stochastic features; Machine learning; Computer vision

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APA (6th Edition):

Steckenrider, J. J. (2017). Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81752

Chicago Manual of Style (16th Edition):

Steckenrider, John J. “Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification.” 2017. Masters Thesis, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/81752.

MLA Handbook (7th Edition):

Steckenrider, John J. “Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification.” 2017. Web. 18 Nov 2019.

Vancouver:

Steckenrider JJ. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/81752.

Council of Science Editors:

Steckenrider JJ. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/81752

5. Bergeron, Sydney. Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images.

Degree: MS, Mechanical Engineering, 2017, University of Minnesota

 The purpose of this thesis is to investigate the feasibility of commonly used features in histopathological image analysis for the purpose of locating various carcinoma… (more)

Subjects/Keywords: Cancer Localization; Computer Vision; Machine Learning

Computer vision and machine learning tools have the potential to enhance pathologists’ ability to… …or time spent on each case. It is evident that applying machine vision to work alongside… …Thesis Statement The primary goal of this research is to apply computer vision and supervised… …machine learning to expedite pathologists’ work and enhance their ability to diagnose lymph node… …Sertel et al. employs computer 8 vision techniques for cell segmentation and unsupervised… 

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APA (6th Edition):

Bergeron, S. (2017). Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188816

Chicago Manual of Style (16th Edition):

Bergeron, Sydney. “Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images.” 2017. Masters Thesis, University of Minnesota. Accessed November 18, 2019. http://hdl.handle.net/11299/188816.

MLA Handbook (7th Edition):

Bergeron, Sydney. “Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images.” 2017. Web. 18 Nov 2019.

Vancouver:

Bergeron S. Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images. [Internet] [Masters thesis]. University of Minnesota; 2017. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/11299/188816.

Council of Science Editors:

Bergeron S. Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images. [Masters Thesis]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/188816


California State University – Sacramento

6. Mothe, Sravan Kumar Reddy. Computer recognition system for detecting and tracking objects in 3D environment.

Degree: MS, Mechanical Engineering, 2011, California State University – Sacramento

 In recent times computer recognition has become most powerful tool for many robotic applications. Applications like inspection, surveillance, industrial automation and gaming needs 3D positional… (more)

Subjects/Keywords: Machine vision; Computer vision; Object tracking using OpenCV

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APA (6th Edition):

Mothe, S. K. R. (2011). Computer recognition system for detecting and tracking objects in 3D environment. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1249

Chicago Manual of Style (16th Edition):

Mothe, Sravan Kumar Reddy. “Computer recognition system for detecting and tracking objects in 3D environment.” 2011. Masters Thesis, California State University – Sacramento. Accessed November 18, 2019. http://hdl.handle.net/10211.9/1249.

MLA Handbook (7th Edition):

Mothe, Sravan Kumar Reddy. “Computer recognition system for detecting and tracking objects in 3D environment.” 2011. Web. 18 Nov 2019.

Vancouver:

Mothe SKR. Computer recognition system for detecting and tracking objects in 3D environment. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10211.9/1249.

Council of Science Editors:

Mothe SKR. Computer recognition system for detecting and tracking objects in 3D environment. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/1249


California State University – Sacramento

7. Patton, James C. Semiconductor defect identification, analysis, and reduction through machine vision.

Degree: MS, Mechanical Engineering, 2010, California State University – Sacramento

 Defect monitoring is a necessity in the semiconductor manufacturing industry. It is a process characterized by the regular inspection of its product during the significant… (more)

Subjects/Keywords: Semiconductor; Defect; Machine; Vision

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APA (6th Edition):

Patton, J. C. (2010). Semiconductor defect identification, analysis, and reduction through machine vision. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/305

Chicago Manual of Style (16th Edition):

Patton, James C. “Semiconductor defect identification, analysis, and reduction through machine vision.” 2010. Masters Thesis, California State University – Sacramento. Accessed November 18, 2019. http://hdl.handle.net/10211.9/305.

MLA Handbook (7th Edition):

Patton, James C. “Semiconductor defect identification, analysis, and reduction through machine vision.” 2010. Web. 18 Nov 2019.

Vancouver:

Patton JC. Semiconductor defect identification, analysis, and reduction through machine vision. [Internet] [Masters thesis]. California State University – Sacramento; 2010. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10211.9/305.

Council of Science Editors:

Patton JC. Semiconductor defect identification, analysis, and reduction through machine vision. [Masters Thesis]. California State University – Sacramento; 2010. Available from: http://hdl.handle.net/10211.9/305


University of Texas – Austin

8. Boddiford, Andrew Shropshire. Improving the safety and efficiency of rail yard operations using robotics.

Degree: MSin Engineering, Mechanical Engineering, 2013, University of Texas – Austin

 Significant efforts have been expended by the railroad industry to make operations safer and more efficient through the intelligent use of sensor data. This work… (more)

Subjects/Keywords: Robotics; Machine vision; Railroad

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APA (6th Edition):

Boddiford, A. S. (2013). Improving the safety and efficiency of rail yard operations using robotics. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/29111

Chicago Manual of Style (16th Edition):

Boddiford, Andrew Shropshire. “Improving the safety and efficiency of rail yard operations using robotics.” 2013. Masters Thesis, University of Texas – Austin. Accessed November 18, 2019. http://hdl.handle.net/2152/29111.

MLA Handbook (7th Edition):

Boddiford, Andrew Shropshire. “Improving the safety and efficiency of rail yard operations using robotics.” 2013. Web. 18 Nov 2019.

Vancouver:

Boddiford AS. Improving the safety and efficiency of rail yard operations using robotics. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/2152/29111.

Council of Science Editors:

Boddiford AS. Improving the safety and efficiency of rail yard operations using robotics. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/29111

9. Kalghatgi, Roshan Satish. Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras.

Degree: MS, Mechanical Engineering, 2012, Georgia Tech

 In general, stereovision can be defined as a two part problem. The first is the correspondence problem. This involves determining the image point in each… (more)

Subjects/Keywords: Machine vision; 3-D reconstruction; Stereovision; Monocular vision; Computer vision; Reconstruction; Three-dimensional imaging; Image reconstruction

…49 ix SUMMARY Stereovision is a common computer/machine vision technique used to extract… …Stereovision is a common computer/machine vision technique used to extract 3-D information from a set… …This is because point and line detection is an older computer vision problem, and thus many… …resolutions by combining various methods from computer vision such as feature point identification… …subject to noise, which is typical of most 3-D Computer Vision algorithms. 1.7 Conclusions… 

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APA (6th Edition):

Kalghatgi, R. S. (2012). Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43590

Chicago Manual of Style (16th Edition):

Kalghatgi, Roshan Satish. “Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras.” 2012. Masters Thesis, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/43590.

MLA Handbook (7th Edition):

Kalghatgi, Roshan Satish. “Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras.” 2012. Web. 18 Nov 2019.

Vancouver:

Kalghatgi RS. Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras. [Internet] [Masters thesis]. Georgia Tech; 2012. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/43590.

Council of Science Editors:

Kalghatgi RS. Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras. [Masters Thesis]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43590


University of Texas – Austin

10. -9820-4620. Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation.

Degree: MSin Engineering, Mechanical Engineering, 2015, University of Texas – Austin

 This thesis introduces a standard framework for evaluating and planning for desired autonomous (or semi-autonomous) operations, then applies the framework, in detail, to the task… (more)

Subjects/Keywords: Machine vision; Computer vision; Automation; Robot; Robots; Robotics; Automate; Automated; Railroad; 3d; Camera; Point cloud; Algorithm; Design; Standardization; Standardized; Data mining; Neural network; Real-time; Real time; Performance map; Performance maps; Mobile robot; Mobile robotics

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APA (6th Edition):

-9820-4620. (2015). Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31986

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

Chicago Manual of Style (16th Edition):

-9820-4620. “Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation.” 2015. Masters Thesis, University of Texas – Austin. Accessed November 18, 2019. http://hdl.handle.net/2152/31986.

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

MLA Handbook (7th Edition):

-9820-4620. “Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation.” 2015. Web. 18 Nov 2019.

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

Vancouver:

-9820-4620. Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/2152/31986.

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

Council of Science Editors:

-9820-4620. Standardization for intelligent detection and autonomous operation of non-structured hardware, and its application on railcar brake release operation. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31986

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

11. Senthilkumar, G. Experimental investigation on machine vision based inspection of metal inert gas welded joints using intelligent techniques; -.

Degree: Mechanical Engineering, 2014, Anna University

In the present industrial scenario the worldwide manufacturing markets have been facing heavy competition to produce cost effective higher quality products This has led to… (more)

Subjects/Keywords: Mechanical Engineering; Machine vision system; Mechanical engineering; Metal inert gas welding

Page 1

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APA (6th Edition):

Senthilkumar, G. (2014). Experimental investigation on machine vision based inspection of metal inert gas welded joints using intelligent techniques; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/22278

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):

Senthilkumar, G. “Experimental investigation on machine vision based inspection of metal inert gas welded joints using intelligent techniques; -.” 2014. Thesis, Anna University. Accessed November 18, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/22278.

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

MLA Handbook (7th Edition):

Senthilkumar, G. “Experimental investigation on machine vision based inspection of metal inert gas welded joints using intelligent techniques; -.” 2014. Web. 18 Nov 2019.

Vancouver:

Senthilkumar G. Experimental investigation on machine vision based inspection of metal inert gas welded joints using intelligent techniques; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Nov 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22278.

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

Council of Science Editors:

Senthilkumar G. Experimental investigation on machine vision based inspection of metal inert gas welded joints using intelligent techniques; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22278

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


Virginia Tech

12. Umansky, Mark. A Prototype Polarimetric Camera for Unmanned Ground Vehicles.

Degree: MS, Mechanical Engineering, 2013, Virginia Tech

 Unmanned ground vehicles are increasingly employing a combination of active sensors such as LIDAR with passive sensors like cameras to perform at all levels of… (more)

Subjects/Keywords: Unmanned Ground Vehicles; Robotic Perception; Polarization; Machine Vision

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APA (6th Edition):

Umansky, M. (2013). A Prototype Polarimetric Camera for Unmanned Ground Vehicles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23724

Chicago Manual of Style (16th Edition):

Umansky, Mark. “A Prototype Polarimetric Camera for Unmanned Ground Vehicles.” 2013. Masters Thesis, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/23724.

MLA Handbook (7th Edition):

Umansky, Mark. “A Prototype Polarimetric Camera for Unmanned Ground Vehicles.” 2013. Web. 18 Nov 2019.

Vancouver:

Umansky M. A Prototype Polarimetric Camera for Unmanned Ground Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/23724.

Council of Science Editors:

Umansky M. A Prototype Polarimetric Camera for Unmanned Ground Vehicles. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23724

13. Chiel, Benjamin S. GPS-denied multi-agent localization and terrain classification for autonomous parafoil systems.

Degree: PhD, Mechanical Engineering, 2016, Boston University

 Guided airdrop parafoil systems depend on GPS for localization and landing. In some scenarios, GPS may be unreliable (jammed, spoofed, or disabled), or unavailable (indoor,… (more)

Subjects/Keywords: Mechanical engineering; Localization; Lost robot; Machine learning; Multi-agent; Semantic navigation; Vision navigation

…understanding machine learning algorithms to rethink how vision can be used for navigation. Rather… …not more convoluted. Machine learning based visual understanding can enable a novel method… …localization and landing in a GPS-denied setting. This new approach combines machine 4 learning… …of objects, such as chairs or tables. More recently, advances in machine learning (ML… …fields, and are particularly effective in vision applications. Technically, a CNN represents a… 

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APA (6th Edition):

Chiel, B. S. (2016). GPS-denied multi-agent localization and terrain classification for autonomous parafoil systems. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/19500

Chicago Manual of Style (16th Edition):

Chiel, Benjamin S. “GPS-denied multi-agent localization and terrain classification for autonomous parafoil systems.” 2016. Doctoral Dissertation, Boston University. Accessed November 18, 2019. http://hdl.handle.net/2144/19500.

MLA Handbook (7th Edition):

Chiel, Benjamin S. “GPS-denied multi-agent localization and terrain classification for autonomous parafoil systems.” 2016. Web. 18 Nov 2019.

Vancouver:

Chiel BS. GPS-denied multi-agent localization and terrain classification for autonomous parafoil systems. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/2144/19500.

Council of Science Editors:

Chiel BS. GPS-denied multi-agent localization and terrain classification for autonomous parafoil systems. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/19500

14. Mobley, Christopher James. Multistage Localization for High Precision Mobile Manipulation Tasks.

Degree: MS, Mechanical Engineering, 2017, Virginia Tech

 This paper will present a multistage localization approach for an autonomous industrial mobile manipulator (AIMM). This approach allows tasks with an operational scope outside the… (more)

Subjects/Keywords: Autonomous Navigation; SLAM; Visual Servoing; Mobile Manipulation; Computer Vision; State Machine

…machines and the specific Computer Vision algorithms implemented will be expounded upon. 3.1… …6 Conclusions and Future Work 81 Bibliography 83 viii List of Figures 1.1 Vision… …23 3.14 Graphical view of state machine using SMACH. . . . . . . . . . . . . . . . . 27… …high degree of flexibility as seen in Figure 1.1. Figure 1.1: Vision for future… …localization and path planning, manipulation, task execution using state machines, and the computer… 

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APA (6th Edition):

Mobley, C. J. (2017). Multistage Localization for High Precision Mobile Manipulation Tasks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/75237

Chicago Manual of Style (16th Edition):

Mobley, Christopher James. “Multistage Localization for High Precision Mobile Manipulation Tasks.” 2017. Masters Thesis, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/75237.

MLA Handbook (7th Edition):

Mobley, Christopher James. “Multistage Localization for High Precision Mobile Manipulation Tasks.” 2017. Web. 18 Nov 2019.

Vancouver:

Mobley CJ. Multistage Localization for High Precision Mobile Manipulation Tasks. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/75237.

Council of Science Editors:

Mobley CJ. Multistage Localization for High Precision Mobile Manipulation Tasks. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/75237

15. Kirchhoff, Allan Richard. Text Localization for Unmanned Ground Vehicles.

Degree: MS, Mechanical Engineering, 2014, Virginia Tech

 Unmanned ground vehicles (UGVs) are increasingly being used for civilian and military applications. Passive sensing, such as visible cameras, are being used for navigation and… (more)

Subjects/Keywords: text localization; Optical Character Recognition; Unmanned Ground Vehicles; Stroke Width Transform; Stroke Filter; Adaptive Thresholding; Machine Vision; Robotic Perception; Machine Learning; Support Vector Machine

…animal’s stereo vision is only good up to 2 meters while machine stereo vision can extend this… …recognition using passive sensing often employs machine learning. Machine learning takes human… …existing vehicles. Machine learning algorithms currently used for object detection on UGVs can… …Text localization can benefit from previous work on machine learning rather than creating… …linear filter responses calculated. A machine learning approach is then used to classify each… 

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APA (6th Edition):

Kirchhoff, A. R. (2014). Text Localization for Unmanned Ground Vehicles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52569

Chicago Manual of Style (16th Edition):

Kirchhoff, Allan Richard. “Text Localization for Unmanned Ground Vehicles.” 2014. Masters Thesis, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/52569.

MLA Handbook (7th Edition):

Kirchhoff, Allan Richard. “Text Localization for Unmanned Ground Vehicles.” 2014. Web. 18 Nov 2019.

Vancouver:

Kirchhoff AR. Text Localization for Unmanned Ground Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/52569.

Council of Science Editors:

Kirchhoff AR. Text Localization for Unmanned Ground Vehicles. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/52569


Georgia Tech

16. Daley, Wayne D. R. A Methodology for the Development of Machine Vision Algorithms Through the use of Human Visual Models.

Degree: PhD, Mechanical Engineering, 2004, Georgia Tech

 The development of machine vision algorithms for inspection and machine guidance has traditionally relied on the knowledge and experience of the developers as most of… (more)

Subjects/Keywords: Machine vision; Color imaging; Natural products

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

APA (6th Edition):

Daley, W. D. R. (2004). A Methodology for the Development of Machine Vision Algorithms Through the use of Human Visual Models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4996

Chicago Manual of Style (16th Edition):

Daley, Wayne D R. “A Methodology for the Development of Machine Vision Algorithms Through the use of Human Visual Models.” 2004. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/4996.

MLA Handbook (7th Edition):

Daley, Wayne D R. “A Methodology for the Development of Machine Vision Algorithms Through the use of Human Visual Models.” 2004. Web. 18 Nov 2019.

Vancouver:

Daley WDR. A Methodology for the Development of Machine Vision Algorithms Through the use of Human Visual Models. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/4996.

Council of Science Editors:

Daley WDR. A Methodology for the Development of Machine Vision Algorithms Through the use of Human Visual Models. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4996


NSYSU

17. Tseng, Ching-I. An Active Camera Calibration Method with XYZ 3D Table.

Degree: Master, Mechanical Engineering, 2000, NSYSU

 The technology of machine vision is board applied in many aspects such as industrial inspection, medical image processing, remote sensing and nanotechnology. It recovers useful… (more)

Subjects/Keywords: active; machine vision; FOE; camera calibration; feature point

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

APA (6th Edition):

Tseng, C. (2000). An Active Camera Calibration Method with XYZ 3D Table. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712100-164228

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):

Tseng, Ching-I. “An Active Camera Calibration Method with XYZ 3D Table.” 2000. Thesis, NSYSU. Accessed November 18, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712100-164228.

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

MLA Handbook (7th Edition):

Tseng, Ching-I. “An Active Camera Calibration Method with XYZ 3D Table.” 2000. Web. 18 Nov 2019.

Vancouver:

Tseng C. An Active Camera Calibration Method with XYZ 3D Table. [Internet] [Thesis]. NSYSU; 2000. [cited 2019 Nov 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712100-164228.

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

Council of Science Editors:

Tseng C. An Active Camera Calibration Method with XYZ 3D Table. [Thesis]. NSYSU; 2000. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712100-164228

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


Georgia Tech

18. Li, Qiang. Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications.

Degree: PhD, Mechanical Engineering, 2007, Georgia Tech

 The finite element method (FEM) has difficulty solving certain problems where adaptive mesh is needed. Motivated by two engineering problems in live-object handling project, this… (more)

Subjects/Keywords: Flexible grasper; Contact; Machine vision; Electromechanical actuators; High speed live object transfer

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

APA (6th Edition):

Li, Q. (2007). Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14480

Chicago Manual of Style (16th Edition):

Li, Qiang. “Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/14480.

MLA Handbook (7th Edition):

Li, Qiang. “Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications.” 2007. Web. 18 Nov 2019.

Vancouver:

Li Q. Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/14480.

Council of Science Editors:

Li Q. Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14480

19. McNeil, Joshua G. Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting.

Degree: PhD, Mechanical Engineering, 2016, Virginia Tech

 There is an increasing demand for robotics in dangerous and extreme conditions to limit human exposure and risk. An area in which robots are being… (more)

Subjects/Keywords: Robotics; Firefighting; Machine Vision; Autonomous Fire Suppression; Probabilistic Classification; Feedback Control

…disparity points from vision system… …These robots include vision sensors to assist an operator in assessing the situation of… …wavelength IR camera images. Infrared was chosen as the primary vision sensor due to performance in… …strategy was developed through integrating fire detection, IR stereo vision, and visual servoing… …4 – A predicted spray trajectory was developed based on the vision system measurement of… 

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

APA (6th Edition):

McNeil, J. G. (2016). Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64784

Chicago Manual of Style (16th Edition):

McNeil, Joshua G. “Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting.” 2016. Doctoral Dissertation, Virginia Tech. Accessed November 18, 2019. http://hdl.handle.net/10919/64784.

MLA Handbook (7th Edition):

McNeil, Joshua G. “Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting.” 2016. Web. 18 Nov 2019.

Vancouver:

McNeil JG. Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10919/64784.

Council of Science Editors:

McNeil JG. Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64784

20. Aminzadeh, Masoumeh. A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

 In-situ inspection of geometric accuracy and porosity in metal powder-bed additive manufacturing (AM) using visual camera images was proposed and addressed. For the first time,… (more)

Subjects/Keywords: Additive manufacturing; Quality inspection and control; Machine vision; Bayesian; Defect detection and identification; Statistical modeling; Image processing; Visual camera; Metal powder-bed fusion; Laser powder-bed fusion; Selective laser melting; Automated defect detection; Automated visual inspection; Geometry inspection; Porosity inspection

…highresolution visual images. For the first time, an imaging setup and the required machine vision… …camera mounted outside the machine, (b) illustration of perspective effects in images… …45 Figure 30- (a) A schematic view of the front view of the machine illustrating… …46 Figure 32- (a) the SLM machine used in [87] with a standard stereo… …built turbine blade on the machine after powder removal… 

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

APA (6th Edition):

Aminzadeh, M. (2016). A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56291

Chicago Manual of Style (16th Edition):

Aminzadeh, Masoumeh. “A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing.” 2016. Doctoral Dissertation, Georgia Tech. Accessed November 18, 2019. http://hdl.handle.net/1853/56291.

MLA Handbook (7th Edition):

Aminzadeh, Masoumeh. “A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing.” 2016. Web. 18 Nov 2019.

Vancouver:

Aminzadeh M. A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1853/56291.

Council of Science Editors:

Aminzadeh M. A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56291

.