Texas A&M University 3 credits ECEN
Introduction to the principles and modern techniques of visual navigation and autonomy for robotic systems beginning with geometric foundations and numerical methods; fundamental concepts in visual perception and localization as applied to robotic system navigation; fundamental techniques in motion planning for robotic systems; applications of model machine learning techniques to different modules in the autonomous navigation pipeline. Prerequisites: Graduate classification.
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