lidar-slam

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】

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

LiDAR SLAM: Scan Context + LeGO-LOAM

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

LiDAR-inertial SLAM: Scan Context + LIO-SAM

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

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

LiDAR SLAM = FAST-LIO + Scan Context

LiDAR SLAM comparison and evaluation framework

LIDAR SLAM for Autonomous Vehicles Playground

A real-time LiDAR SLAM package that integrates FLOAM and ScanContext.

a list of papers, code, and other resources focus on deep learning SLAM system

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Detect and track objects from the benchmark KITTI dataset. Classify those objects and project them into three dimensions. Fuse those projections together with LiDAR data to create 3D objects to track over time.

A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.

⌨️ A modular framework for comparing different algorithms used in mapping and localization.

This repository contains the code to control all the traxxis rc cars in a 1/10 scale testbed. Code can be run in simulation or using real vehicles.

LiDAR Guide

3D LIDAR-based Graph SLAM

SLAM development docker for rapid, reusable and portable SLAM algorithm development and test running.

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

Surfel-based Mapping for 3d Laser Range Data (SuMa)

3D LIDAR-based Graph SLAM

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

深蓝学院 激光slam理论与实践 作业

A map representation based on 3D segments

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

Advanced implementation of LOAM