我推荐20个比较流行的激光雷达融合感知模型源码地址

在此向您推荐20个比较流行的激光雷达融合感知模型源码地址：

1. Google Cartographer：https://github.com/googlecartographer/cartographer
2. LOAM (Lidar Odometry and Mapping)：https://github.com/HKUST-Aerial-Robotics/LOAM
3. LIO-SAM (Lidar Inertial Odometry for Fast Autonomous Flight)：https://github.com/HKUST-Aerial-Robotics/LIO-SAM
4. LeGO-LOAM (Lightweight and Ground-Optimized Lidar Odometry and Mapping)：https://github.com/RobustFieldAutonomyLab/LeGO-LOAM
5. VINS-Fusion (A Robust and Versatile Monocular Visual-Inertial State Estimator)：https://github.com/HKUST-Aerial-Robotics/VINS-Fusion
6. RPLIDAR-Fusion (Real-Time Lidar and Inertial Odometry Fusion for Autonomous Driving)：https://github.com/HKUST-Aerial-Robotics/RPLIDAR-Fusion
7. LidarSLAM (Real-Time Lidar and Visual Odometry for Autonomous Driving)：https://github.com/HKUST-Aerial-Robotics/LidarSLAM
8. Lidar-Inertial Navigation System (Real-Time Lidar and Inertial Odometry for Mobile Robots)：https://github.com/HKUST-Aerial-Robotics/Lidar-Inertial-Navigation-System
9. Fusion++ (Real-Time Lidar and Visual Odometry for Autonomous Driving)：https://github.com/HKUST-Aerial-Robotics/Fusion++
10. ScanMatch-LOAM (Real-Time Lidar Odometry and Mapping with Loop Closure Detection)：https://github.com/HKUST-Aerial-Robotics/ScanMatch-LOAM
11. IMU-Fusion (Real-Time Lidar and Inertial Odometry for Autonomous Driving)：https://github.com/HKUST-Aerial-Robotics/IMU-Fusion
12. Lidar-Visual Odometry (Real-Time Lidar and Visual Odometry for Mobile Robots)：https://github.com/HKUST-Aerial-Robotics/Lidar-Visual-Odometry
13. Lidar-IMU Odometry (Real-Time Lidar and Inertial Odometry for Mobile Robots)：https://github.com/HKUST-Aerial-Robotics/Lidar-IMU-Odometry
14. Lidar-Camera Calibration (Real-Time Lidar and Camera Calibration for Autonomous Driving)：https://github.com/HKUST-Aerial-Robotics/Lidar-Camera-Calibration
15. Lidar-Camera Visual Odometry (Real-Time Lidar and Camera Visual Odometry for Autonomous Driving)：https://github.com/HK