Denoising Framework Based on Multiframe Continuous Point Clouds for Autonomous Driving LiDAR in Snowy Weather-Reference-Cited by-同舟云学术

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Denoising Framework Based on Multiframe Continuous Point Clouds for Autonomous Driving LiDAR in Snowy Weather

Published:2024-04-01 Issue:7 Volume:24 Page:10515-10527
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yan Xinyuan¹^ORCID,Yang Junxing¹^ORCID,Zhu Xinyu¹,Liang Yu¹,Huang He¹^ORCID

Affiliation:

1. School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Funding for Postdoctoral Research Activities in Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10418150.pdf?arnumber=10418150

Reference34 articles.

1. Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields

2. 3D is here: Point Cloud Library (PCL)

3. De-noising of Lidar Point Clouds Corrupted by Snowfall

4. DSOR: A scalable statistical filter for removing falling snow from LiDAR point clouds in severe winter weather;Kurup;arXiv:2109.07078,2021

5. Fast and Accurate Desnowing Algorithm for LiDAR Point Clouds

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1. Time-Efficient Autonomous Exploration in Unknown Environment by Multirepresentation Strategy;IEEE Sensors Journal;2024-09-01

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