CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions-Reference-Cited by-同舟云学术

CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions

Author:

Wu Weishang¹,Deng Xiaoheng¹^ORCID,Jiang Ping¹^ORCID,Wan Shaohua²^ORCID,Guo Yuanxiong³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China

2. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

Funder

National Natural Science Foundation of China Project

Local Science and Technology Developing Foundation Guided by Central Government of China

Opening Project of State Key Laboratory of Nickel and Cobalt Resources Comprehensive Utilization

Key Project of Shenzhen City Special Fund for Fundamental Research

National Natural Science Foundation of Hunan Province

Postgraduate Innovative Project of Central South University

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference55 articles.

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