3D-DFM: Anchor-Free Multimodal 3-D Object Detection With Dynamic Fusion Module for Autonomous Driving-Reference-Cited by-同舟云学术

3D-DFM: Anchor-Free Multimodal 3-D Object Detection With Dynamic Fusion Module for Autonomous Driving

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Lin Chunmian¹^ORCID,Tian Daxin¹^ORCID,Duan Xuting¹^ORCID,Zhou Jianshan¹^ORCID,Zhao Dezong²^ORCID,Cao Dongpu³^ORCID

Affiliation:

1. Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.

2. James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

3. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Zhuoyue Program of Beihang University Postdoctoral Fellowship

China Postdoctoral Science Foundation

Beijing Municipal Science and Technology Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09774850.pdf?arnumber=9774850

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