Point Cloud Algorithms and Common Computation Modules: From Data to Models, Engineering, and Quantization

Point clouds are discrete geometric samples of three-dimensional space. Unlike regular images, they must be converted into a computable BEV representation through structured processing such as voxels or pillar bucketing. The article reviews point cloud algorithms along the chain from data fundamentals to models, engineering deployment, and quantization, and organizes common computation modules.