There are 22 repositories under lidar-slam topic.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整,暫停更新
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
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
[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 Quatro and Nano-GICP
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
A reinforced LiDAR inertial odometry system provides accurate and robust 6-DoF movement estimation under challenging perceptual conditions.
: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 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.
LiDAR SLAM comparison and evaluation framework
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
LiDAR Guide
[TRO] Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM
Robotic Localization with SLAM on Raspberry Pi integrated with RP LIDAR A1. Point Cloud remote visualization doing using MQTT in real-time.