LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
- lidar-odometry
- lidar-slam
- loam-velodyne
- lidar-inertial
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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
3D LIDAR-based Graph SLAM
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Interactive Map Correction for 3D Graph SLAM
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
A nonblocking implementation of a buzzer class that allows you to play basic melodies or sound patterns without blocking the main loop while the sound is being played