Lidar Slam
Showing 10 of 10 projects
A real-time, tightly-coupled lidar-inertial odometry package for robust robot localization and mapping.
A robust LiDAR odometry pipeline that works out-of-the-box without parameter tuning for accurate robot localization.
A robust, real-time LiDAR odometry and mapping package optimized for Livox LiDARs with small fields of view.
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
ROS 2 LiDAR SLAM for creating non-GPL pointcloud maps compatible with Autoware, featuring loop closure and benchmarking.
A Siamese neural network for LiDAR-based loop closing and localization by predicting scan overlap and relative yaw angle.
A learning-based approach for moving object segmentation in 3D LiDAR data, distinguishing moving vs. static objects in real-time.
A simple, robust, and accurate 3D LiDAR SLAM system designed to just work.
A robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping without manual intervention.
A full LiDAR SLAM system for static environment mapping using LiDAR with optional GPS, IMU, and odometry support.
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