What Could Possibly Go Wrong? Unsuccessful Take-Over Attempts during Conditional Driving Automation-Reference-Cited by-同舟云学术

What Could Possibly Go Wrong? Unsuccessful Take-Over Attempts during Conditional Driving Automation

Published:2023-09-18 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Author:

Gruden Timotej¹^ORCID,Jakus Grega¹^ORCID

Affiliation:

1. University of Ljubljana, Faculty of Electrical Engineering, Slovenia

Funder

Horizon 2020 Framework Programme

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581961.3609857

Reference14 articles.

1. SAE International , “ J3016_202104: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ,” Apr. 30, 2021. https://www.sae.org/standards/content/j3016_202104/ (accessed Jan. 28, 2023 ). SAE International, “J3016_202104: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles,” Apr. 30, 2021. https://www.sae.org/standards/content/j3016_202104/ (accessed Jan. 28, 2023).

2. Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control

3. The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles

4. Comparing Shape-Changing and Vibro-Tactile Steering Wheels for Take-Over Requests in Highly Automated Driving

5. J. Wan and C. Wu , “ The Effects of Vibration Patterns of Take-Over Request and Non-Driving Tasks on Taking-Over Control of Automated Vehicles ,” International Journal of Human–Computer Interaction , vol. 34 , no. 11, pp. 987–998, Nov. 2018, doi: 10.1080/10447318.2017.1404778. 10.1080/10447318.2017.1404778 J. Wan and C. Wu, “The Effects of Vibration Patterns of Take-Over Request and Non-Driving Tasks on Taking-Over Control of Automated Vehicles,” International Journal of Human–Computer Interaction, vol. 34, no. 11, pp. 987–998, Nov. 2018, doi: 10.1080/10447318.2017.1404778.