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

doi:10.1145/3544999.3550160

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 proceeding › Conference contribution › peer-review

3 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 language	English
Title of host publication	Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Publisher	Association for Computing Machinery, Inc
Pages	182-185
Number of pages	4
ISBN (Electronic)	9781450394284
DOIs	https://doi.org/10.1145/3544999.3550160
State	Published - 17 Sep 2022
Event	14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of Duration: 17 Sep 2022 → 20 Sep 2022

Publication series

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

Conference

Conference	14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Country/Territory	Korea, Republic of
City	Seoul
Period	17/09/22 → 20/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

automated driving
driving style
human-machine cooperation
shared control

Access to Document

10.1145/3544999.3550160

Cite this

Lee, S. C., Sahin, H., Zhang, Y., Yoon, S. H., Lee, J., Boll, S., & Wintersberger, P. (2022). A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios. In Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 (pp. 182-185). (Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3544999.3550160

Lee, Seul Chan ; Sahin, Hatice ; Zhang, Yiqi et al. / A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios. Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery, Inc, 2022. pp. 182-185 (Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022).

@inproceedings{7634eb43dea14f348819fd8aed3d2359,

title = "A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios",

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.",

keywords = "automated driving, driving style, human-machine cooperation, shared control",

author = "Lee, \{Seul Chan\} and Hatice Sahin and Yiqi Zhang and Yoon, \{Sol Hee\} and Jieun Lee and Susanne Boll and Philipp Wintersberger",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 ; Conference date: 17-09-2022 Through 20-09-2022",

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month = sep,

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doi = "10.1145/3544999.3550160",

language = "English",

series = "Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022",

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}

Lee, SC, Sahin, H, Zhang, Y, Yoon, SH, Lee, J, Boll, S & Wintersberger, P 2022, A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios. in Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, Association for Computing Machinery, Inc, pp. 182-185, 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, Seoul, Korea, Republic of, 17/09/22. https://doi.org/10.1145/3544999.3550160

A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios. / Lee, Seul Chan; Sahin, Hatice; Zhang, Yiqi et al.
Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery, Inc, 2022. p. 182-185 (Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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.

KW - automated driving

KW - driving style

KW - human-machine cooperation

KW - shared control

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M3 - Conference contribution

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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 -

Lee SC, Sahin H, Zhang Y, Yoon SH, Lee J, Boll S et al. A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios. In Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery, Inc. 2022. p. 182-185. (Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022). doi: 10.1145/3544999.3550160

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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