jeking1's repositories
spatio_temporal_voxel_layer
A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations
S-LOAM
S-LOAM(Simple LOAM) 是一种简单易学的激光SLAM算法，整个程序只有几百行代码，十分方便学习与试验分析。
ORB_SLAM3_Grid_Mapping
A modified version of ORB-SLAM3 which can create 2D grid map online or offline for AGV navigation.
ORB_SLAM2_LIDAR_MERGING
Modified ORB_SLAM2_ros code that "merges" a lidar map with a visual map.
costmap_depth_camera
This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.
imu_x_fusion
IMU + X(GNSS, VO) Loose Fusion Localization based on ESKF
Slam-Project-Of-MyOwn
手写2D激光slam框架，基于图优化，scan to map 和回环检测
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.
realtime_multiLidar_system
a system for mapping、obstacle avoidance and navigation on multi-lidars
ODMD
Object Depth via Motion and Detection Dataset
VLOAM-CMU-16833
CMU 16-833 "Robot Localization and Mapping" Course Project
learning_document
多传感器融合&运动规划&SLAM&目标检测
cartographer-note
2D-SLAM-cartographer代码注释
VIDO-SLAM
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.
IndoorMapping
Generate dense point cloud based on ORB-SLAM, and build indoor navigation map using OctoMap.
LidarRoadBoundaryDetection
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
optimized_ICP
采用优化的方案对ICP算法行了实现
LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
ORB_SLAM3_annotation
在阅读ORB_SLAM3的过程中进行的注释，与ORB_SLAM2近似的部分采用了SLAM研习社的注释https://github.com/electech6/ORBSLAM2_detailed_comments
CamVox
A low-cost SLAM system based on camera and Livox lidar.