SLAM学习资料收集

这是一个不定期更新的SLAM学习历程中收集到的资料。。。

一、激光SLAM

1.三维激光SLAM

（1）LOAM：

论文：http://www.roboticsproceedings.org/rss10/p07.pdf

源码：https://github.com/laboshinl/loam_velodyne

翻译：

https://mp.weixin.qq.com/s/o7Cui6cAL1yXvpRPGaGXwQ

编译：https://blog.csdn.net/qq_36396941/article/details/82973772

代码解释：

(1) https://blog.csdn.net/qq_21842097/article/details/80714483

https://blog.csdn.net/qq_21842097/article/details/80926150

https://blog.csdn.net/qq_21842097/article/details/81076368

 https://blog.csdn.net/qq_21842097/article/details/81094922

(2)  https://blog.csdn.net/Nksjc/article/details/76401092

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(2)LeGo-LOAM:

论文：http://personal.stevens.edu/~benglot/Shan_Englot_IROS_2018_Preprint.pdf

源码：https://github.com/RobustFieldAutonomyLab/LeGO-LOAM

翻译：http://www.sohu.com/a/289046976_715754

 https://blog.csdn.net/qq_21842097/article/details/88319580

编译：https://blog.csdn.net/learning_tortosie/article/details/86527542

 https://blog.csdn.net/qq_36396941/article/details/83513121

代码解释：https://blog.csdn.net/weixin_42048023/article/details/87452610

  https://blog.csdn.net/weixin_42048023/article/details/87624650

 https://blog.csdn.net/weixin_42048023/article/details/87736777

 https://blog.csdn.net/weixin_42048023/article/details/87452610

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（3）Segmatch:

1）论文：R. Dubé, D. Dugas, E. Stumm, J. Nieto, R. Siegwart, and C. Cadena. "SegMatch: Segment Based Place Recognition in 3D Point Clouds." IEEE International Conference on Robotics and Automation, 2017

https://arxiv.org/pdf/1609.07720.pdf

翻译解释： https://blog.csdn.net/u013019296/article/details/79651610

2）论文：R. Dubé, A. Cramariuc, D. Dugas, J. Nieto, R. Siegwart, and C. Cadena. "SegMap: 3D Segment Mapping using Data-Driven Descriptors." Robotics: Science and Systems (RSS), 2018

 http://www.roboticsproceedings.org/rss14/p03.pdf

翻译解释：http://www.sohu.com/a/285609435_715754

 http://www.sohu.com/a/273723551_715754

 https://mp.weixin.qq.com/s/D5s_lJewRKi6t7S5RR5FbQ

3）论文：R. Dubé, MG. Gollub, H. Sommer, I. Gilitschenski, R. Siegwart, C. Cadena and , J. Nieto. "Incremental Segment-Based Localization in 3D Point Clouds." IEEE Robotics and Automation Letters, 2018

 http://n.ethz.ch/~cesarc/files/RAL2018_rdube.pdf

翻译解释： https://mp.weixin.qq.com/s?__biz=MzI5MTM1MTQwMw%3D%3D&idx=1&mid=2247495497&sn=b8b2be0bef7bf575b4d888ef97cd8dd4

 https://m.sohu.com/a/272878455_715754/?pvid=000115_3w_a

所有的源码及编译：https://github.com/ethz-asl/segmap

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（4）Have I Seen This Place Before? A Fast and Robust Loop Detection and Correction Method for 3D Lidar SLAM

论文：https://www.mdpi.com/1424-8220/19/1/23/pdf

源码：https://github.com/Shaws/m2dp-gpu

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