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 Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

A LiDAR odometry pipeline that just works

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

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.

LiDAR-inertial SLAM: Scan Context + LIO-SAM

[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.

ImMesh: An Immediate LiDAR Localization and Meshing Framework

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

A 3D point cloud descriptor for place recognition

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

LiDAR SLAM = FAST-LIO + Scan Context

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

A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

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

[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory