SLAM is the math that lets a robot build a map while figuring out where it is on the same map. We walk the chicken-and-egg structure, sensor modalities (lidar versus visual versus inertial), the particle-filter to graph-optimization shift, why loop closure matters more than any single odometry source, and the honest accuracy reality from a Roomba to a self-driving car.
Slam
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SLAM in Practice