Open Course Space

Visual Navigation for Autonomous Vehicles (VNAV)

Massachusetts Institute of TechnologyUnited States16.485
Free, no sign-up neededFall 2020English
Go to course on MIT OpenCourseWare

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.

Description from MIT OpenCourseWare.

Where to take this course