Part IX: Radar, Lidar, Depth, Thermal, Event, and RF Sensing
Chapter 42  [C][A]

Point Clouds and Lidar AI

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Sections

  1. 42.1 Lidar measurement principles
  2. 42.2 Point-cloud representations; voxelization and pillars
  3. 42.3 Sparse-convolution backbones (CenterPoint, VoxelNeXt)
  4. 42.4 Point transformers (Point Transformer v3)
  5. 42.5 3D detection, segmentation, and tracking
  6. 42.6 Self-supervised lidar pretraining (ALSO, LISO)
  7. 42.7 Weather, domain shift, and deployment constraints

Lab 42

build a point-cloud detection/segmentation pipeline on a public dataset subset with OpenPCDet/Pointcept.