Kenny Wang's repositories
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。
ikd-Tree-detailed
「香港大学 MaRS 实验室」开源 ikd-Tree 算法中文注释版;新增了header-only分支,便于直接嵌入工程。
VINS-Fusion-Understood
完全可理解的VINS-Fusion:1.代码风格重构、2.全量靠谱注释、3.代码即文档、4.忠实于原代码;5.ROS解耦、6.状态量可视化、7.日志系统。
ground_aware_cartographer
添加了地面约束的3D版本Cartographer,更多改进详见readme。
Elegant_FAST_LIO
优雅的 Fast-LIO2:基于官方版完全重构,代码风格重写,合理的模块划分,清晰的代码架构,ROS层与算法层解耦,Easy-To-Learn,Easy-To-Use。
lidar_IMU_calib-modified
「浙江大学开源LiDAR-IMU标定算法」详细中文注释版。
indt_localization
基于增量式NDT算法(iNDT)的开源激光定位框架:结合瓦片点云地图,实现高效的地图加载&卸载。
SLAM_In_Dynamic_Environments_Survey
A thorough survey of SLAM in dynamic environments: covering topics of front-end odometry / loop-clousre / mapping, single-session / long-term, visual / lidar, classic architechture / 3D Gaussian Slpatting, based on a solid foundation of more than 300 papers over last 40 years.
Infinity-SLAM
无限拓展的个人SLAM框架,目前已集成XXX;开箱即用,欢迎clone和测试;持续迭代中 ....
D-Map
D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
LIO-SAM-Mapper
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
project_linker_and_loader
《程序员的自我修养|链接、装载与库》实验代码和笔记