elewu / 2d_lidar_undistortionLinks
A ros package used to correct motion distortion of a 2D LIDAR. 2D激光雷达运动畸变校正
☆91Updated 4 years ago
Alternatives and similar repositories for 2d_lidar_undistortion
Users that are interested in 2d_lidar_undistortion are comparing it to the libraries listed below
Sorting:
- ☆35Updated 3 years ago
- laser reflector and EKF☆106Updated 3 years ago
- ☆53Updated 6 years ago
- ☆38Updated 3 years ago
- ros1 gazebo cartographer amcl☆62Updated 6 years ago
- ☆110Updated 4 years ago
- ☆202Updated 9 months ago
- cartographer纯定位+movebase导航,包括手动重定位☆33Updated 2 years ago
- DLL: Direct Lidar Localization☆210Updated last month
- This is a simulation of Livox lidar☆99Updated 2 years ago
- lio-sam代码注释☆141Updated 4 years ago
- 个人对目 前较为成熟的视觉/激光SLAM算法进行的注释以及解读文件☆65Updated 2 years ago
- A simple implementation of occupancy grid mapping.☆130Updated last year
- 添加了地面约束的3D版本Cartographer,更多改进详见readme。☆87Updated 2 years ago
- ☆60Updated 4 years ago
- ☆58Updated 3 years ago
- C++ Implementation of the NDT mapping and localization algorithm for ADV on ROS.☆110Updated 5 years ago
- 使用手眼标定法计算Lidar和INS(RTK or IMU)的相对姿态☆127Updated 4 years ago
- Localizaing a Robot with Wheel Encoder, IMU and AprilTag Detection☆39Updated 6 years ago
- A relocalization package for Livox LiDARs.☆176Updated 4 years ago
- ☆120Updated 2 years ago
- 激光雷达定位slam(深蓝)☆98Updated 5 years ago
- SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.☆158Updated 5 years ago
- Karto SLAM源码详细注释,2d激光SLAM☆47Updated 4 years ago
- ☆52Updated 6 years ago
- 手写2D激光slam框架,基于图优化,scan to map 和回环检测☆61Updated 3 years ago
- A ROS C++ node that fuses IMU and Odometry☆71Updated 5 years ago
- simple ndt slam, quick deploy on mobile robot, support mapping and localization (origin from autoware.ai); 简易slam包 快速部署使用☆152Updated last year
- Supplemental material for "Simultaneous calibration of odometry and sensor parameters for mobile robots"☆81Updated 8 years ago
- An incremental laser scan matcher, using PLICP (point-to-line iterative closest point) scan matching algorithm.☆137Updated last year