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👁️Robot Perception and State Estimation

By the end of this cursus you will be able to model a pinhole camera, calibrate it with OpenCV, recover stereo depth, downsample and register LiDAR point clouds with ICP, implement a Kalman filter predict-update cycle from scratch, and explain how ORB-SLAM3 and Cartographer solve the full SLAM problem including loop closure and pose-graph optimisation.

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Lessons in order

  1. 1
    Robotics
    Cameras and Visual Perception
    Start
  2. 2
    Robotics
    LiDAR and Point Clouds
    Start
  3. 3
    Robotics
    The Kalman Filter
    Start
  4. 4
    Robotics
    SLAM: Simultaneous Localization and Mapping
    Start