3D slam资源记录

《Fast and robust 3D feature extraction from sparse point clouds》,看一下前端是否可以用到。前端学习特征提取,也需要加上tracking的功能。这样可以加速。

http://jacoposerafin.com/wp-content/uploads/serafin16iros.pdf

https://github.com/HiltyBosch/PCLPlaneAndColumnDetect

A comprehensive review of 3D point cloud descriptors

Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments

http://jbehley.github.io/projects/surfel_mapping/

Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods

segmap

ETH出品的

Learning-to-Localize-Using-a-LiDAR-Intensity-Map.pdf

https://www.researchgate.net/profile/Ioan_Andrei_Barsan/publication/332819759_Learning_to_Localize_Using_a_LiDAR_Intensity_Map/links/5ccb37ac92851c3c2f81740e/Learning-to-Localize-Using-a-LiDAR-Intensity-Map.pdf

http://n.ethz.ch/~cesarc/files/ICRA2017_rdube.pdf

segmatch

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