hku-mars/r3live

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

C++Otherslamsensor-fusion3d-reconstruction3d-mappingmesh-reconstructionlidar-odometrylidar-camera-fusionlidar-slamlidar-inertial-odometry
This is stars and forks stats for /hku-mars/r3live repository. As of 29 Mar, 2024 this repository has 1606 stars and 362 forks.

R3LIVE A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package 1. Introduction R3LIVE is a novel LiDAR-Inertial-Visual sensor fusion framework, which takes advantage of measurement of LiDAR, inertial, and visual sensors to achieve robust and accurate state estimation. R3LIVE is built upon our previous work R2LIVE, is contained of two subsystems: the LiDAR-inertial odometry (LIO) and the visual-inertial odometry (VIO). The LIO subsystem (FAST-LIO)...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
s3fs-fuse/s3fs-fuseC++ShellOther7.5k09810
KhronosGroup/glslangC++GLSLYacc2.6k07780
caliphdev/filezone-v2EJSJavaScriptOther120220
GTcreyon/SM63ReduxGDScriptRustOther1370180
kubernetes/node-problem-detectorGoShellMakefile2.5k05890
ethereum/hevmHaskellSolidityNix169+231+3
roottusk/vapiHTMLPHPOther1k02700
Shazbot/WH3-DumpLuaHTMLOther100180
imandra-ai/imandra-preludeOCamlOther10010
pypa/pipenvPythonOther24.2k01.9k0