Learning From Drivers Patterns of Evasive Maneuvers in Case of Emergency Using Dynamic-Time-Warping-Based Clustering-Reference-Cited by-同舟云学术

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Learning From Drivers Patterns of Evasive Maneuvers in Case of Emergency Using Dynamic-Time-Warping-Based Clustering

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Huang Chao¹,Yang Bo¹,Nakano Kimihiko¹

Affiliation:

1. Institute of Industrial Science, the University of Tokyo,Tokyo,Japan,153-0041

Funder

National Institute of Information and Communications Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422180.pdf?arnumber=10422180

Reference24 articles.

1. Safety of autonomous vehicles: what are the insights from experienced industry professionals?

2. Determinants of personal concern about autonomous vehicles

3. Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust

Cited by 1 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. Impact of Personality on Takeover Time and Maneuvers Shortly After Takeover Request;IEEE Transactions on Intelligent Transportation Systems;2024-09

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