Abstract
Human drivers are being gradually replaced by highly automated driving systems, and this trend is expected to continue. Alternatives should be available if driving algorithms are incapable of resolving ambiguous driving scenarios. What occurs if an autonomous vehicle follows a vehicle traveling below the posted speed limit? Should the autonomous vehicle cross the leading vehicle or maintain a safe distance? We must have solutions to address such situations. The way an autonomous vehicle responds to a variety of ambiguous driving scenarios is crucial for legal and safety reasons. To improve future road safety and convenience, this workshop aims the enhancement a framework to develop various ambiguous driving scenarios and plausible actions of AV in each of them. The results of this workshop will be an aid to scientists in their strategic policymaking and algorithm design for AVs responses to ambiguous driving scenarios.
| Original language | English |
|---|---|
| Title of host publication | 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Adjunct Conference Proceedings |
| Publisher | Association for Computing Machinery |
| Pages | 264-266 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798400701122 |
| DOIs | |
| State | Published - 18 Sep 2023 |
| Event | 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Ingolstadt, Germany Duration: 18 Sep 2023 → 21 Sep 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 |
|---|---|
| Country/Territory | Germany |
| City | Ingolstadt |
| Period | 18/09/23 → 21/09/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
Keywords
- Automated driving
- ambiguous driving scenarios
- driving style
- human-machine cooperation
- shared control
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