Motor learning affects car-to-driver handover in automated vehicles-Reference-Cited by-同舟云学术

Motor learning affects car-to-driver handover in automated vehicles

Published:2016-12-06 Issue:1 Volume:1 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Russell Holly E. B.¹,Harbott Lene K.¹,Nisky Ilana²,Pan Selina¹,Okamura Allison M.¹,Gerdes J. Christian¹

Affiliation:

1. Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.

2. Department of Biomedical Engineering and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.

Abstract

A human driver requires a period of motor adaptation to resume normal steering after taking control of an automated vehicle.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference37 articles.

1. SAE On-Road Automated Vehicle Standards Committee Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems (SAE International 2014).

2. Transition to manual: Driver behaviour when resuming control from a highly automated vehicle

3. B. Mok M. Johns K. J. Lee D. Miller D. Sirkin P. Ive W. Ju Emergency automation off: Unstructured transition timing for distracted drivers of automated vehicles 18th International IEEE Conference on Intelligent Transportation Systems Las Palmas de Gran Canaria Spain 15 to 18 September 2015 (Institute of Electrical and Electronics Engineers 2015).

4. A. P. van den Beukel M. C. van der Voort The influence of time-criticality on situation awareness when retrieving human control after automated driving 16th International IEEE Conference on Intelligent Transportation Systems The Hague Netherlands 6 to 10 October 2013 (Institute of Electrical and Electronics Engineers 2013).

5. T. E. Trimble R. Bishop J. F. Morgan M. Blanco Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research State of Automation Technology and Emerging System Concepts (National Highway Traffic Safety Administration 2014).

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