lidar

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

翻译 - LeGO-LOAM：轻巧且经过地面优化的激光雷达里程表和可变地形映射

3D LIDAR-based Graph SLAM

翻译 - 基于3D LIDAR的Graph SLAM

#数据仓库#An extension of Open3D to address 3D Machine Learning tasks

翻译 - An extension of Open3D to address 3D Machine Learning tasks

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。

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

翻译 - 基于YOLOv4的PyTorch实现：“ Complex-YOLO：点云上的实时3D对象检测”

Open Source TOF Lidar

翻译 - 开源TOF激光雷达

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

Drivers for receiving LiDAR data and more, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.

Pointcloud-based graph SLAM written in C++ using open3D library.