Topic: lidar-slam Goto Github
Some thing interesting about lidar-slam
Some thing interesting about lidar-slam
lidar-slam,Robotic Localization with SLAM on Raspberry Pi integrated with RP LIDAR A1. Point Cloud remote visualization doing using MQTT in real-time.
User: adroitanandai
Home Page: https://towardsdatascience.com/indoor-robot-localization-with-slam-f8b447bcb865
lidar-slam,[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
Organization: ai4ce
Home Page: https://ai4ce.github.io/DeepMapping2/
lidar-slam,a list of papers, code, and other resources focus on deep learning SLAM system
User: cuge1995
lidar-slam,A real-time LiDAR SLAM package that integrates FLOAM and ScanContext.
User: cuge1995
lidar-slam,MuNES: Multifloor Navigation Including Elevators and Stairs
User: donghwijung
lidar-slam,A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
User: doongli
lidar-slam,A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
User: engcang
lidar-slam,A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
User: engcang
lidar-slam,a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
User: engcang
lidar-slam,A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
User: engcang
lidar-slam,A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
User: engcang
lidar-slam,Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
User: gisbi-kim
lidar-slam,LiDAR-inertial SLAM: Scan Context + LIO-SAM
User: gisbi-kim
lidar-slam,LiDAR SLAM comparison and evaluation framework
User: haeyeoni
lidar-slam,FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Organization: hku-mars
lidar-slam,ImMesh: An Immediate LiDAR Localization and Meshing Framework
Organization: hku-mars
lidar-slam,A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Organization: hku-mars
lidar-slam,A 3D point cloud descriptor for place recognition
Organization: hku-mars
lidar-slam,A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
User: huguet57
lidar-slam,User-friendly Docker images for SLAM
User: hyeonjaegil
lidar-slam,A1 SLAM: Quadruped SLAM using the A1's onboard sensors
User: jerredchen
lidar-slam,MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
User: jokerjohn
Home Page: https://arxiv.org/abs/2408.03723
lidar-slam,Unofficial implementation of "MapCleaner" a method for removing moving objects from point cloud maps.
User: kamibukuro5656
lidar-slam,ROS implementation of Loop Closure for LiDAR SLAM.
User: kamibukuro5656
lidar-slam,:fire: :muscle: Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM, TMECH-2023)
User: kangchengliu
lidar-slam,[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
User: kevin2431
lidar-slam,A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
User: kxhit
lidar-slam,Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
User: limhyungtae
lidar-slam,Real-Time Simultaneous Localization and Mapping with LiDAR intensity
Organization: mistlab
lidar-slam,[TRO] Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM
Organization: nubot-nudt
lidar-slam,A LiDAR odometry pipeline that just works
Organization: prbonn
Home Page: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf
lidar-slam,(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
Organization: prbonn
lidar-slam,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.
User: qdlmf
lidar-slam,[ICRA 2024] Collaborative Dynamic 3D Scene Graphs for Automated Driving
Organization: robot-learning-freiburg
Home Page: http://curb.cs.uni-freiburg.de
lidar-slam,NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
User: rodralez
lidar-slam,Photometric SLAM and Bundle Adjustment for RGB-D and LiDAR in CUDA.
Organization: rvp-group
lidar-slam,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.
Organization: rvp-group
lidar-slam,3D Graph Based SLAM
User: ryuyamamoto
lidar-slam,LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
User: tixiaoshan
lidar-slam,[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.
Organization: vectr-ucla
lidar-slam,[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Organization: vectr-ucla
lidar-slam,A reinforced LiDAR inertial odometry system provides accurate and robust 6-DoF movement estimation under challenging perceptual conditions.
User: wwenhongich
lidar-slam,:keyboard: A modular framework for comparing different algorithms used in mapping and localization.
User: xiaotaoguo
lidar-slam,[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
User: xingyuuchen
lidar-slam,[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
User: xingyuuchen
lidar-slam,Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整,暫停更新
User: yichencityu
lidar-slam,This is a modified version of the original livox mapping.
Organization: york-sdcnlab
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