LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds-Reference-Cited by-同舟云学术

LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Yu Ming-Yuan¹,Vasudevan Ram²,Johnson-Roberson Matthew³

Affiliation:

1. Robotics Institute, University of Michigan,Ann Arbor,MI,USA

2. the University of Michigan,Department of Mechanical Engineering,Ann Arbor,MI,USA

3. University of Michigan,Department of Naval Architecture and Marine Engineering,Ann Arbor,MI,USA,48109

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982248.pdf?arnumber=9982248

Reference22 articles.

1. Canadian Adverse Driving Conditions dataset

2. CNN-Based Lidar Point Cloud De-Noising in Adverse Weather

3. Au-tonomy at the end of the Earth: an inclement weather autonomous driving data set;bos;Autonomous Systems Sensors Processing and Security for Vehicles and Infrastructure 2020 International Society for Optics and Photonics,2020

4. Enhancing Sparsity by Reweighted ℓ 1 Minimization

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2. Self-supervised multi-echo point cloud denoising in snowfall;Pattern Recognition Letters;2024-09

3. 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review;Unmanned Systems;2024-06-22

4. 3D-OutDet: A Fast and Memory Efficient Outlier Detector for 3D LiDAR Point Clouds in Adverse Weather;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

5. De-Snowing Algorithm for Long-Wavelength LiDAR;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02