Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk-Reference-Cited by-同舟云学术

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Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Lee Chung Won,Nayeer Nasif,Garcia Danson Evan,Agrawal Ankur,Liu Bingbing

Funder

Huawei's Noah's Ark Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9304518/9304528/09304552.pdf?arnumber=9304552

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. REAL-SAP: Real-Time Evidence Aware Liable Safety Assessment for Perception in Autonomous Driving;IEEE Transactions on Vehicular Technology;2024-08

2. The Importance of Studying and Guarding Against Systemic Automation Failures;Journal of Cognitive Engineering and Decision Making;2024-03-29

3. Video Compression Prototype for Autonomous Vehicles;Smart Cities;2024-03-08

4. Operational safety hazard identification methodology for automated driving systems fleets;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2024-02-26

5. Navigating the Handover: Reviewing Takeover Requests in Level 3 Autonomous Vehicles;IEEE Open Journal of Vehicular Technology;2024

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