ICRA 2021 - Robust Place Recognition using an Imaging Lidar
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Updated
Aug 5, 2024 - C++
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search. Run on Jetson Orin NX 8GB.
ROS 2 Packages for Testing LIO-SAM on a Robotic Vehicle with 3D LIDAR and 9-Axis IMU
Reproducible Docker-based benchmark of LIO-SAM and FAST-LIO on the Newer College Dataset.
Comparative analysis of LiDAR-IMU SLAM strategies with LeGO-LOAM and LIO-SAM in a simulated ROS/Gazebo environment, using the Clearpath Husky A200 UGV and Velodyne Puck VLP-16 sensor. It evaluates loosely coupled (LeGO-LOAM) and tightly coupled (LIO-SAM) approaches using point cloud and IMU data.
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