激光slam经典开源算法及论文整理

it2024-11-16  2

开源算法

loamLeGO-LOAMlio-mappingLIO-SAMCartographergmappinghector_slam 考虑到有些朋友们的网络下载论文可能有问题,把论文整理到百度网盘,可自行下载:

链接: https://pan.baidu.com/s/1QziejYngFJAGTZ7LXnlb1g提取码: kwhi

loam

代码:https://github.com/laboshinl/loam_velodyne论文:https://ri.cmu.edu/pub_files/2014/7/Ji_LidarMapping_RSS2014_v8.pdf

LeGO-LOAM

代码:https://github.com/RobustFieldAutonomyLab/LeGO-LOAM论文:https://github.com/RobustFieldAutonomyLab/LeGO-LOAM/blob/master/Shan_Englot_IROS_2018_Preprint.pdf

lio-mapping

代码:https://github.com/hyye/lio-mapping#a-tightly-coupled-3d-lidar-and-inertial-odometry-and-mapping-approach论文:https://arxiv.org/pdf/1904.06993.pdf

LIO-SAM

代码:https://github.com/TixiaoShan/LIO-SAM论文:https://arxiv.org/pdf/2007.00258v3.pdf

Cartographer

代码:https://github.com/cartographer-project/cartographer论文:https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45466.pdf

gmapping

代码:https://github.com/ros-perception/slam_gmapping论文: http://www2.informatik.uni-freiburg.de/~stachnis/pdf/grisetti07tro.pdf

hector_slam

代码: https://github.com/tu-darmstadt-ros-pkg/hector_slam论文:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.302.2579&rep=rep1&type=pdf
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