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A curated collection of machine-learned models for autonomous driving tasks like perception, prediction, and planning.
A curated collection of resources, datasets, and methods for 3D LiDAR-based Moving Object Segmentation (MOS) research.
A ROS-based player for replaying the KiTTI autonomous driving dataset with point cloud, image, and ground truth publishing.
An algorithm for optimal worst-case instance segmentation of LiDAR point clouds using objectness scoring.
Python implementation of scan unfolding for KITTI LiDAR data to create dense cylindrical projections without systematic discretization artifacts.
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