There are 27 repositories under lidar-slam topic.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整,暫停更新
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
LiDAR SLAM = FAST-LIO + Scan Context
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
Tightly-coupled Direct LiDAR-Inertial Odometry and Mapping Based on Cartographer3D.
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
A LiDAR odometry pipeline for wheeled mobile robots
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search. Run on Jetson Orin NX 8GB.
MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assumption. Universal approach, working independently for RGB-D and LiDAR.
:fire: :muscle: Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM, TMECH-2023)
Real-Time Simultaneous Localization and Mapping with LiDAR intensity
A reinforced LiDAR inertial odometry system provides accurate and robust 6-DoF movement estimation under challenging perceptual conditions.