Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives-Reference-Cited by-同舟云学术

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Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives

Published:2023-09 Issue:9 Volume:24 Page:8963-8987
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yang Kai¹^ORCID,Tang Xiaolin¹^ORCID,Li Jun²,Wang Hong²^ORCID,Zhong Guichuan¹,Chen Jiaxin¹^ORCID,Cao Dongpu³^ORCID

Affiliation:

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

2. School of Vehicle and Mobility, Tsinghua University, Beijing, China

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

Funder

National Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10235283/10122777.pdf?arnumber=10122777

Reference242 articles.

1. Let The Sunshine in: Sun Glare Detection on Automotive Surround-view Cameras

2. Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments

3. RGB-NIR active gated imaging;spooren;Proc SPIE,2016

4. Towards Predictive Driving through Blind Intersections

5. Single Image Reflection Removal with Absorption Effect

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