Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Localization & Filters
Stanford Online · 77:20 · Watch on YouTube
This lecture derives the Bayesian filter: the general recursion that keeps a robot’s probabilistic belief about its pose on a known map, predicting that belief forward with each control and then correcting it with eac...