TY - GEN
T1 - A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios
AU - Lee, Seul Chan
AU - Sahin, Hatice
AU - Zhang, Yiqi
AU - Yoon, Sol Hee
AU - Lee, Jieun
AU - Boll, Susanne
AU - Wintersberger, Philipp
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/9/17
Y1 - 2022/9/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85139054683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139054683&partnerID=8YFLogxK
U2 - 10.1145/3544999.3550160
DO - 10.1145/3544999.3550160
M3 - Conference contribution
AN - SCOPUS:85139054683
T3 - Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
SP - 182
EP - 185
BT - Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
PB - Association for Computing Machinery, Inc
T2 - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Y2 - 17 September 2022 through 20 September 2022
ER -