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Adaptable Take-Over Concepts: Considering Partial and Gradual Take-Overs

Published: 17 September 2022 Publication History

Abstract

In this paper, we explore a novel three-stage take-over (TO) concept for conditionally autonomous vehicles (SAE L3). In a user study in a driving simulator, we evaluated the usability of four different TO concepts: a) a basic concept including only a single TO request, b) a partial take-over (PTO) concept, where the longitudinal coordination of the vehicle remains automatic, when a TO is performed by steering only, c) a concept with an improved minimum safety manoeuvre (MSM) with additional warnings and automatic braking manoeuvres, and d) a TO concept including both PTO and MSM. The results showed that when PTO and MSM were both used, the minimal time-to-collision (TTC) was longer on average, and the maximal lateral acceleration was lower on average compared to the basic or PTO concepts. In addition, significantly fewer collisions were observed when using PTO+MSM compared to the basic TO concept.

References

[1]
‘SAE International Releases Updated Visual Chart for Its “Levels of Driving Automation” Standard for Self-Driving Vehicles’. https://www.sae.org/ (accessed Jul. 19, 2019).
[2]
W. Morales-Alvarez, O. Sipele, R. Léberon, H. H. Tadjine, and C. Olaverri-Monreal, ‘Automated Driving: A Literature Review of the Take over Request in Conditional Automation’, Electronics, vol. 9, no. 12, Art. no. 12, Dec. 2020.
[3]
C. Gold, R. Happee, and K. Bengler, ‘Modeling take-over performance in level 3 conditionally automated vehicles’, Accident Analysis & Prevention, vol. 116, pp. 3–13, Jul. 2018.
[4]
F. Zhou, X. J. Yang, and J. C. F. de Winter, ‘Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving’, IEEE Transactions on Intelligent Transportation Systems, pp. 1–12, 2021.
[5]
S. Ma, ‘Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance’, International Journal of Human–Computer Interaction, vol. 37, no. 4, pp. 352–362, Feb. 2021.
[6]
D. Vanderwerp, ‘It's Not Just Tesla: All Other Driver-Assist Systems Work without Drivers, Too’, Car and Driver, Aug. 11, 2021. https://www.caranddriver.com/news/a37260363/driver-assist-systems-tested/ (accessed Jun. 23, 2022).
[7]
A. Reschka, ‘Safety Concept for Autonomous Vehicles’, in Autonomous Driving: Technical, Legal and Social Aspects, M. Maurer, J. C. Gerdes, B. Lenz, and H. Winner, Eds. Berlin, Heidelberg: Springer, 2016, pp. 473–496.
[8]
R. De Iaco, S. L. Smith, and K. Czarnecki, ‘Universally Safe Swerve Maneuvers for Autonomous Driving’, IEEE Open Journal of Intelligent Transportation Systems, vol. 2, pp. 482–494, 2021.
[9]
F. Naujoks, K. Wiedemann, N. Schömig, S. Hergeth, and A. Keinath, ‘Towards guidelines and verification methods for automated vehicle HMIs’, Transportation Research Part F: Traffic Psychology and Behaviour, vol. 60, pp. 121–136, Jan. 2019.
[10]
T. Gruden, M. Hribernik, E. Keš, J. Sodnik, and G. Jakus, ‘Taktilno-vizualni uporabniški vmesnik za voznikov prevzem upravljanja vozila pri prekinitvi avtonomne vožnje’, in Zbornik osemindvajsete mednarodne Elektrotehniške in računalniške konference, Portorož, Slovenija, 2019, pp. 53–56.
[11]
E. J. Williams, ‘Experimental Designs Balanced for the Estimation of Residual Effects of Treatments’, Aust. J. Chem., vol. 2, no. 2, pp. 149–168, 1949.
[12]
‘Nervtech Simuation Technologies’, Nervtech. https://www.nervtech.com (accessed Apr. 29, 2019).
[13]
‘AVSimulation SCANeR studio’, AVSimulation. https://www.avsimulation.com/scanerstudio/ (accessed Aug. 12, 2020).
[14]
J. Radlmayr, C. Gold, L. Lorenz, M. Farid, and K. Bengler, ‘How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving’, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 58, no. 1, pp. 2063–2067, Sep. 2014.
[15]
S. Petermeijer, P. Bazilinskyy, K. Bengler, and J. de Winter, ‘Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop’, Applied Ergonomics, vol. 62, pp. 204–215, Jul. 2017.
[16]
S. M. Petermeijer, S. Cieler, and J. C. F. de Winter, ‘Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat’, Accident Analysis & Prevention, vol. 99, pp. 218–227, Feb. 2017.
[17]
M. Körber, L. Prasch, and K. Bengler, ‘Why Do I Have to Drive Now? Post Hoc Explanations of Takeover Requests’, Hum Factors, vol. 60, no. 3, pp. 305–323, May 2018.
[18]
M. M. Minderhoud and P. H. L. Bovy, ‘Extended time-to-collision measures for road traffic safety assessment’, Accident Analysis & Prevention, vol. 33, no. 1, pp. 89–97, Jan. 2001.
[19]
T. Köhn, M. Gottlieb, M. Schermann, and H. Krcmar, ‘Improving take-over quality in automated driving by interrupting non-driving tasks’, in Proceedings of the 24th International Conference on Intelligent User Interfaces, Marina del Ray, California, Mar. 2019, pp. 510–517.
[20]
K. Zeeb, A. Buchner, and M. Schrauf, ‘Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving’, Accident Analysis & Prevention, vol. 92, pp. 230–239, Jul. 2016.
[21]
J. Radlmayr, V. Weinbeer, C. Löber, M. Farid, and K. Bengler, ‘How Automation Level and System Reliability Influence Driver Performance in a Cut-In Situation’, in Advances in Human Aspects of Transportation, 2018, pp. 684–694.
[22]
C. Hydén, ‘Traffic conflicts technique: state-of-the-art’, Traffic Safety Work with Video-processing. University Kaiserlauten, Transportation Department, no. Green Series No. 37, pp. 3–14, 1996.
[23]
H. Winner, S. Hakuli, and G. Wolf, Handbuch Fahrerassistenzsysteme: Grundlagen, Komponenten und Systeme für aktive Sicherheit und Komfort: mit 550 Abbildungen und 45 Tabellen. Springer-Verlag, 2009.
[24]
‘Tetris® – Aplikacije v Googlu Play’. https://play.google.com/store/apps/details?id=game.puzzle.blockpuzzle&hl=sl (accessed Aug. 27, 2020).

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  1. Adaptable Take-Over Concepts: Considering Partial and Gradual Take-Overs

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    cover image ACM Conferences
    AutomotiveUI '22: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    September 2022
    225 pages
    ISBN:9781450394284
    DOI:10.1145/3544999
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 17 September 2022

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    Author Tags

    1. driving simulator
    2. study
    3. take-over request
    4. user interface

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