Defining Reasonably Foreseeable Parameter Ranges Using Real-World Traffic Data for Scenario-Based Safety Assessment of Automated Vehicles-Reference-Cited by-同舟云学术

Defining Reasonably Foreseeable Parameter Ranges Using Real-World Traffic Data for Scenario-Based Safety Assessment of Automated Vehicles

Published:2022 Issue: Volume:10 Page:37743-37760
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nakamura Hiroki¹,Muslim H.¹^ORCID,Kato R.¹,Prefontaine-Watanabe Sandra¹^ORCID,Nakamura H.¹,Kaneko H.¹,Imanaga H.¹,Antona-Makoshi J.¹,Kitajima S.¹,Uchida N.¹^ORCID,Kitahara E.²,Ozawa K.²^ORCID,Taniguchi S.²

Affiliation:

1. Japan Automobile Research Institute, Tsukuba, Japan

2. SAKURA Project, Chikuma, Japan

Funder

Ministry of Economy, Trade and Industry of Japan through the SAKURA Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09743474.pdf?arnumber=9743474

Reference71 articles.

1. Evasive behavior-based method for threat assessment in different scenarios: A novel framework for intelligent vehicle

2. Development of a safety assurance process for autonomous vehicles in Japan;antona-makoshi;Proc 26th Int Tech Conf Enhanced Saf Veh,2019

3. Multi-agent traffic simulations to estimate the impact of automated technologies on safety

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