A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios

Seul Chan Lee, Hatice Sahin, Yiqi Zhang, Sol Hee Yoon, Jieun Lee, Susanne Boll, Philipp Wintersberger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Highly automated driving systems have taken control of driving instead of human drivers, and this trend is expected to increase. However, we should have solutions if the driving algorithms cannot resolve ambiguous driving situations. What if a lead vehicle is significantly slower than the speed limit when an AV follows it? Should the AV overtake the leading vehicle, or should it continue following it at a lower speed? What if an AV lies in the gray area of passing a junction when the traffic light soon turns red? Should an AV stop or continue passing a junction? We must have answers to resolve such situations. As a starting point, this workshop explores user perceptions of AV driving behavior (i.e., driving style and policy) in potential ambiguous scenarios. Through this workshop, we will find out potential issues determining driving style and policy in ambiguous driving scenarios, enhancing road safety and convenience in future driving situations.

Original languageEnglish (US)
Title of host publicationAdjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
PublisherAssociation for Computing Machinery, Inc
Pages182-185
Number of pages4
ISBN (Electronic)9781450394284
DOIs
StatePublished - Sep 17 2022
Event14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of
Duration: Sep 17 2022Sep 20 2022

Publication series

NameAdjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

Conference

Conference14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period9/17/229/20/22

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software
  • Automotive Engineering

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