3d Lidar
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A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, frameworks, and simulators for robotics and autonomous driving.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, and simulators for robotics and autonomous driving.
An efficient LiDAR-based semantic SLAM system that builds 3D semantic maps from laser scans.
A Siamese neural network for LiDAR-based loop closing and localization by predicting scan overlap and relative yaw angle.
A toolkit and dataset for autonomous driving research, including trajectory prediction, 3D LiDAR detection, scene parsing, and video inpainting.
A ROS node for probabilistic 3-D/6-DOF localization of mobile robots using 3-D LIDAR pointclouds and Monte Carlo localization.
A ROS 2 node for real-time LiDAR ground segmentation using a two-phase grid-based algorithm for robotic perception.
A high-precision, grid-based C++ library for ground segmentation in LiDAR point clouds, designed for safety-critical autonomous driving and robotics.
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