cuVSLAM: CUDA-Accelerated Visual Odometry and Mapping

Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025) + real-world application (MD-LVIO)

The navigation system for omnidirectional wheel robot in real world

SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

A Compact LiDAR Odometry and Mapping with Dynamic Removal [ICUS 2024]

LRAE: Large-Region-Aware Safe and Fast Autonomous Exploration of Ground Robots for Uneven Terrains, RA-L, 2024

LRAE: Large-Region-Aware Safe and Fast Autonomous Exploration of Ground Robots for Uneven Terrains, RA-L, 2024

MoveBase3D is a plane-fitting based uneven terrain navigation framework, which allows UGV to traverse different kinds of unstructured and complex environments outdoors.

Autonomous Exploration, Construction and Update of Semantic Map in real-time

A benchmark platform for robot grasping detection, integrating awesome projects and classic grasp algorithms.

[ICRA'24] A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps

📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)

[TMECH'2024] PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

[ICRA2023] Implementation of Visual Language Maps for Robot Navigation

[IEEE RA-L 2024]: Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information.

动态slam

An intuitive approach for 3D Occupancy Detection

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

Nano-GICP as a module from the official github repo: [IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.