InterFusion: Interaction-based 4D Radar and LiDAR Fusion for 3D Object Detection-Reference-Cited by-同舟云学术

InterFusion: Interaction-based 4D Radar and LiDAR Fusion for 3D Object Detection

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:

Wang Li¹,Zhang Xinyu¹,Xv Baowei¹,Zhang Jinzhao¹,Fu Rong¹,Wang Xiaoyu¹,Zhu Lei²,Ren Haibing³,Lu Pingping⁴,Li Jun¹,Liu Huaping⁵

Affiliation:

1. School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China

2. Mogo Auto Intelligence and Telemetics Information Technology Co. Ltd.

3. Meituan Inc.

4. University of Michigan

5. Tsinghua University,State Key Laboratory of Intelligent Technology and Systems,Department of Computer Science and Technology,Beijing,China

Funder

National Natural Science Foundation of China

Tsinghua University - Meituan Joint Institute for Digital Life

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982123.pdf?arnumber=9982123

Reference32 articles.

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2. Focal Loss for Dense Object Detection

3. GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving

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