excited to release the course material (slides, lecture notes, coding+theory exercises, Unity-based simulator, ...) for the graduate course MIT 16.485 "Visual Navigation for Autonomous Vehicles" (VNAV), with topics spanning geometric vision, VIO, SLAM, 3D reconstruction, ...
2/n ... robust estimation, graph neural networks, and more.
Course material: vnav.mit.edu
Paper describing the course: arxiv.org/pdf/2206.00777…
Course material: vnav.mit.edu
Paper describing the course: arxiv.org/pdf/2206.00777…
3/n The course was created at MIT in 2018 in collaboration with @KasraKhosoussi, and with many contributors including @VassilisTzoumas , Golnaz Habibi,
@MarkusRyll , @TalakRajat , @jingnanshi , and Pasquale Antonante, among others.
@MarkusRyll , @TalakRajat , @jingnanshi , and Pasquale Antonante, among others.
4/n The course is also available on MIT OpenCourseWare @MITOCW at: ocw.mit.edu/courses/16-485… #robotics #visualNavigation #robotPerception #autonomousVehicles #computerVision #MIT
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