Visual Navigation for Autonomous Vehicles (VNAV)
Visual Navigation for Autonomous Vehicles (VNAV)
This course covers the mathematical foundations and state-of-the-art implementations of algorithms for vision-based navigation of autonomous vehicles (e.g., mobile robots, self-driving cars, drones). It provides students with a rigorous but pragmatic overview of differential geometry and optimization on manifolds and knowledge of the fundamentals of 2-view and multi-view geometric vision for real-time motion estimation, calibration, localization, and mapping. It culminates in a critical review of recent advances in the field and a team project aimed at advancing the state of the art.
Duration: Not defined
Level: Graduate
Certification: No
Cost: Free
Language: English
Type: Self-Paced
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