Solving the point cloud registration based on deep learning-Reference-Cited by-同舟云学术

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Solving the point cloud registration based on deep learning

Published:2023-01-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
language:
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Author:

Hu Chufan¹,Xu Wei²,Yuan Junfeng³

Affiliation:

1. University of Sydney,School of Engineering,Sydney,New South Wales,Australia,2006

2. Nanjing Institute of Technology,School of Energy and Power Engineering,Nanjing,China,210000

3. University of Birmingham,School of Engineering Mechanical Engineering,Birmingham,The UK,B29 7BD

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075685/10075655/10076094.pdf?arnumber=10076094

Reference16 articles.

1. Are we ready for autonomous driving? The KITTI vision benchmark suite

2. 1 year, 1000 km: The Oxford RobotCar dataset

3. TensorFlow: A system for large-scale machine learning;abadi;Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation ( OSDI 16),2016

4. 3DFeat-Net: Weakly supervised local 3D features for point cloud registration;yew;Proceedings of the European Conference on Computer Vision Munich Germany,2018

5. A Distance Metric for Finite Sets of Rigid-Body Displacements via the Polar Decomposition

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