Jun-creat

NEXTE_Sentry_Nav

The navigation system of "sentry" for Next-E team in RoboMaster2023

STD

A 3D point cloud descriptor for place recognition

sensor-fusion-for-localization-and-mapping

深蓝学院 多传感器定位融合第四期 学习笔记

LIOSAM-corlor

TRAVEL

Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

dbscan_kdtree

Fast Implementation of DBSCAN using Kdtree for acceleration. The example is clustering point cloud(PCL library used).

linefit_ground_segmentation

Ground Segmentation from Lidar Point Clouds

hdl_graph_slam

3D LIDAR-based Graph SLAM

yolov5-deepsort

ERASOR2

[RSS'23] The official Implementation of "ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes"

ground_aware_cartographer

添加了地面约束的3D版本Cartographer，更多改进详见readme。

UrbanNavDataset

UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas

ERASOR

Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21

LIO-SAM_based_relocalization

A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.

octomap

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

removert

Dynamic Map benchmark implementation

DynamicMap_Benchmark

The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating