Numpy-only dynamic object removal for LiDAR point clouds — 3D box crop + temporal filtering. No GPU, no deep learning.
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Updated
Jun 17, 2026 - Python
Numpy-only dynamic object removal for LiDAR point clouds — 3D box crop + temporal filtering. No GPU, no deep learning.
Multimodal perception pipeline using CARLA simulation data for synchronized multicamera RGB, LiDAR, and IMU sensor fusion. Implemented LiDAR-Inertial Odometry and a 15-state ESKF. Generated RGB-colored static-world 3D reconstructions with dynamic object removal, reducing ghost trails.
LiDAR pose graph optimization with dynamic object removal.
Offline, containerized M-detector prototype for LiDAR dynamic/static point cloud segmentation.
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