{"id":"cd061950-700e-42bd-ab81-ef77449730f5","slug":"clawhub-nvidia-tao-train-pointpillars","name":"tao-train-pointpillars","description":"PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include \"train PointPillars\", \"LiDAR 3D detection\", \"point-cloud object detection\", \"pillar-based 3D detector\".","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":84,"overallRank":62,"trustScore":null,"trust":null,"source":"CLAWHUB","updatedAt":"2026-10-11T22:36:55.869Z"}