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29 public repositories
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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)
Updated
Oct 23, 2021
Python
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
Updated
Aug 10, 2021
Python
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
Updated
Dec 16, 2019
Python
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.
Updated
Nov 12, 2021
Python
3D LIDAR-based Graph SLAM
Updated
Aug 2, 2016
Shell
SLAM development docker for rapid, reusable and portable SLAM algorithm development and test running.
Updated
Nov 18, 2021
Shell
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)
A map representation based on 3D segments
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
Advanced implementation of LOAM
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