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3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
Advance-LeGO-LOAM
无人驾驶相关论文速递
Autoware - the world's leading open-source software project for autonomous driving
A list of papers and datasets about point cloud analysis (processing)
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
一些经典的SLAM算法学习并注释的版本
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds
Implementation of Monocular Direct Sparse Localization in a Prior 3D Surfel Map (DSL)
Official page of ERASOR (RA-L'21 with ICRA'21)
Python package for the evaluation of odometry and SLAM
Just a study example repository of hello world
SLAM 开发学习资源与经验分享
LeGO-LOAM-BOR: optimized Lidar Odometry and Mapping
An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics
A framework of lidar mapping and localization with strong extensibility
Ground Segmentation
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
A Modular Optimization framework for Localization and mApping (MOLA)
ROS nodes wrapping core MRPT functionality: localization, autonomous navigation, rawlogs, etc.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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