Our associate datasetR3LIVE-datasetthat use for evaluation is also available online. You can access and download our datasets via thisGithub repository. 1.4 Our open-source hardware design All of the mechanical modules of our handheld device that use for data collection are designed as FDM printabl...
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package - r3live/LICENCE at master · hazard-yyp/r3live
git clone https://github.com/rosblox/ros-r3live.git Running the ROS package Start the container cd ./ros-r3live ./run.sh Note, the Docker image is pulled automatically once, if it hasn't been pulled yet. Start the ROS package
[Jan 28, 2022] Release of our hardware design**: The CAD files of our hardware design are now available in [rxlive_handheld](https://github.com/ziv-lin/rxlive_handheld). You can download, print, edit and assemble our handheld device by following the guides. Assets 2 Source code (zip...
Files main .github livox_ros_driver r3live resources .gitmodules Dockerfile LICENSE README.md build.sh run.shBreadcrumbs ros-r3live / build.sh Latest commit max-sevi Initial commit 7fe14b8· Jan 22, 2023 HistoryHistory File metadata and controls Code Blame executable file· 3 lines (2 ...
链接:https://github.com/ziv-lin/r3live_dataset 05. R3LIVE 项目小结 在这个工作中,作者创新性地提出了R3LIVE, 有效地解决了以下几个问题: 通过融合相机信息,有效解决了激光雷达在退化场景下无法正常定位的问题; 提出了一套高精度、高效率的彩色点云重建系统,实时重建周围环境的稠密彩色点云; ...
GitHub - hku-mars/r3livegithub.com/hku-mars/r3live 演示视频(7分29秒): 知乎视频645 播放 · 4 赞同视频 框架 Fig1. R3LIVE框架图 这篇文章提出了一种雷达+惯导+视觉融合的状态估计框架 R3LIVE。它包含两个子系统,即激光雷达-惯性测距(LIO)和视觉-惯性测距(VIO)。LIO子系统(FAST-LIO)利用LiDAR...
https://github.com/hku-mars/r3livegithub.com/hku-mars/r3live 本文多图预警 R3LIVE这个工作我已经关注很久了,它在传统SLAM框架下搭建了一套高性能雷达odometry-彩色点云Mapping-三维重建的体系,将Lidar-相机-IMU更直接有效的融合。它在建图的同时把RGB信息通过VIO子系统给点云上色,并通过一定的方法优化这个...
在Github上开源了R3LIVE,包括所有的代码、软件实用程序和设备的机械设计。 标题、作者 作者简介 Jiarong Lin 林博作品合集:dblp: Jiarong Lin (uni-trier.de) 林博的经历: 论文地址 [2109.07982] R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping pa...
代码: https://github.com/hku-mars/r3live 来源:香港大学 论文名称:R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package 原文作者:Jiarong Lin 内容提要 在本文中,我们提出了一种新的激光雷达-惯性视觉传感器融合框架,称为R3LIVE,它利用激光...