激光slam经典开源算法及论文整理

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