xiangli's repositories
cartographer_detailed_comments_ws
cartographer work space with detailed comments
Creating-2D-laser-slam-from-scratch
从零开始创建二维激光SLAM
hello-algorithm
🌍「算法面试+算法知识」针对小白的算法训练 | 还包括：1、阿里、字节、滴滴 百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图 （右侧来个 star 吧 🌹，English version supported）
shenlan-laser-slam-2d
激光雷达定位slam（深蓝）
cartographer_ros
Provides ROS integration for Cartographer.
efficient_online_segmentation
Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
srf_laser_odometry
Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment
ndt_omp_noted
Multi-threaded and SSE friendly NDT algorithm
slam_simulator
A slam simulator in a ROS environment for simulating basic slam algorithms such as ukf, ekf, etc.
hdl_graph_slam
3D LIDAR-based Graph SLAM
hector_slam
hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.
navigation
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
A-LOAM
Advanced implementation of LOAM
apollo
An open autonomous driving platform
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
csm
The C(canonical) Scan Matcher
LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
limo
Lidar-Monocular Visual Odometry
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
open_karto
Catkinized ROS Package of the OpenKarto Library (LGPL3)
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
rf2o_laser_odometry
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
slam_gmapping
http://www.ros.org/wiki/slam_gmapping
slam_karto
ROS Wrapper and Node for OpenKarto
slambook2
edition 2 of the slambook