Development of Warning Methods for Planned and Unplanned Takeover Requests in a Simulated Automated Driving Vehicle-Reference-Cited by-同舟云学术

Development of Warning Methods for Planned and Unplanned Takeover Requests in a Simulated Automated Driving Vehicle

Published:2022-09-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Author:

Hong Sara¹,Maeng Jooyoung¹,Kim Hee Jeong¹,Yang Ji Hyun¹

Affiliation:

1. Kookmin University, Republic of Korea

Funder

BK21 Program , National Research Foundation of Korea (NRF) funded by the Ministry of Education

Transportation and Logistics R&D Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government

Middle-level Researcher Support Project, National Research Foundation of Korea (NRF) funded by the Ministry of Education

the Competency Development Program for Industry Specialists, Korean Ministry of Trade, Industry and Energy (MOTIE), operated by Korea Institute for Advancement of Technology (KIAT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543174.3545999

Reference42 articles.

1. Rolling out the red (and green) carpet: supporting driver decision making in automation-to-manual transitions;Eriksson Alexander;IEEE Transactions on Human-Machine Systems. 49,2018

2. “Take over!” How long does it take to get the driver back into the loop?

3. Quantitative analysis of steering adaptation on a high performance fixed-base driving simulator

4. Takeover Safety Analysis with Driver Monitoring Systems and Driver-Vehicle Interfaces in Highly Automated Vehicles;Yu Dongyeon;Applied Sciences,2021

5. Frederik Naujoks , Christoph Mai and Alexandra Neukum . 2014 . The effect of urgency of take-over requests during highly automated driving under distraction conditions. Advances in human aspects of transportation, 7(Part I) , 431-438. Frederik Naujoks, Christoph Mai and Alexandra Neukum. 2014. The effect of urgency of take-over requests during highly automated driving under distraction conditions. Advances in human aspects of transportation, 7(Part I), 431-438.

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