LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
翻译 - LIO-SAM：通过平滑和映射实现紧密耦合的激光雷达惯性里程表
3D LIDAR-based Graph SLAM
翻译 - 基于3D LIDAR的Graph SLAM
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
翻译 - 激光里程表和制图（Loam）是一种使用3D激光雷达进行状态估计和制图的实时方法。
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
#博客#loam code noted in Chinese（loam中文注解版）
Interactive Map Correction for 3D Graph SLAM
Real-time 3D localization using a (velodyne) 3D LIDAR
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
[ROS package] Lightweight and Accurate Point Cloud Clustering
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL...
Real-time people tracking using a 3D LIDAR
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
L-CAS 3D Point Cloud Annotation Tool
Create 3D labelled bounding boxes in RViz