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gary's Projects

quickmcl icon quickmcl

QuickMCL - Monte Carlo localisation for ROS

r-vio icon r-vio

Robocentric sliding-window filtering-based visual-inertial odometry

r2live icon r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

r3live icon r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

radar_sam icon radar_sam

基于LIO_SAM二次开发的,使用4D毫米波雷达/gps/imu的radar_slam方法

radar_slam icon radar_slam

A package for SLAM implementations using radar sensors.

range-mcl icon range-mcl

Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

readgmappingslam icon readgmappingslam

Gmapping SLAM算法源代码阅读,加了一些注释,去掉了一些有的没的。

realtimepathplanning icon realtimepathplanning

Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles

recent-stars-2023 icon recent-stars-2023

🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

rf2o_laser_odometry icon 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

rgbd_orb_slam2_rt icon rgbd_orb_slam2_rt

Real-time envrionment reconstruction based on ORB_SLAM2 with XTION (RGBD sensor)

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