Voxel-RCNN-Complex: An Effective 3-D Point Cloud Object Detector for Complex Traffic Conditions-Reference-Cited by-同舟云学术

Voxel-RCNN-Complex: An Effective 3-D Point Cloud Object Detector for Complex Traffic Conditions

Author:

Wang Hai¹^ORCID,Chen Zhiyu¹^ORCID,Cai Yingfeng²^ORCID,Chen Long²^ORCID,Li Yicheng²^ORCID,Sotelo Miguel Angel³^ORCID,Li Zhixiong⁴^ORCID

Affiliation:

1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China

2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China

3. Department of Computer Engineering, University of Alcalá, Alcalá de Henares, Spain

4. Yonsei Frontier Lab, Yonsei University, Seoul, Republic of Korea

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Natural Science Foundation of Jiangsu Province

China Postdoctoral Science Foundation

Zhenjiang Key Research and Development Program

Australian Research Council (ARC) Discovery Early Career Researcher Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference33 articles.

4. Submanifold sparse convolutional networks;graham;arXiv 1706 01307,2017

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