PDANet: Point Distribution Awareness for 3-D Object Detection From LiDAR Point Clouds-Reference-Cited by-同舟云学术

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PDANet: Point Distribution Awareness for 3-D Object Detection From LiDAR Point Clouds

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tang Miao¹^ORCID,Yu Dianyu¹,Hu Qingyong²^ORCID,Dai Wenxia¹,Xiao Wen³^ORCID

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

2. Academy of Military Sciences, Beijing, China

3. School of Geography and Information Engineering and the National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10649613.pdf?arnumber=10649613

Reference59 articles.

1. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

2. Deep Learning for 3D Point Clouds: A Survey

3. 3D Object Detection for Autonomous Driving: A Survey

4. 3D Object Detection for Autonomous Driving: A Comprehensive Survey

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

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