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