The Halting problem: Video analysis of self-driving cars in traffic

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

The Halting problem : Video analysis of self-driving cars in traffic. / Brown, Barry; Broth, Mathias; Vinkhuyzen, Erik.

CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc., 2023. s. 1-14 12.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Brown, B, Broth, M & Vinkhuyzen, E 2023, The Halting problem: Video analysis of self-driving cars in traffic. i CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 12, Association for Computing Machinery, Inc., s. 1-14, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Tyskland, 23/04/2023. https://doi.org/10.1145/3544548.3581045

APA

Brown, B., Broth, M., & Vinkhuyzen, E. (2023). The Halting problem: Video analysis of self-driving cars in traffic. I CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (s. 1-14). [12] Association for Computing Machinery, Inc.. https://doi.org/10.1145/3544548.3581045

Vancouver

Brown B, Broth M, Vinkhuyzen E. The Halting problem: Video analysis of self-driving cars in traffic. I CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc. 2023. s. 1-14. 12 https://doi.org/10.1145/3544548.3581045

Author

Brown, Barry ; Broth, Mathias ; Vinkhuyzen, Erik. / The Halting problem : Video analysis of self-driving cars in traffic. CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc., 2023. s. 1-14

Bibtex

@inproceedings{f6fb0bcbb76f476782ff5aa7f51e628b,
title = "The Halting problem: Video analysis of self-driving cars in traffic",
abstract = "Using publicly uploaded videos of the Waymo and Tesla FSD self-driving cars, this paper documents how self-driving vehicles still struggle with some basics of road interaction. To drive safely self-driving cars need to interact in traffic with other road users. Yet traffic is a complex, long established social domain. We focus on one core element of road interaction: when road users yield for each other. Yielding - such as by slowing down for others in traffic - involves communication between different road users to decide who will 'go' and who will 'yield'. Videos of the Waymo and Tesla FSD self-driving cars show how these systems fail to both yield for others, as well as failing to go when yielded to. In discussion, we explore how these 'problems' illustrate both the complexity of designing for road interaction, but also how the space of physical machine/human social interactions more broadly can be designed for.",
author = "Barry Brown and Mathias Broth and Erik Vinkhuyzen",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",
year = "2023",
doi = "10.1145/3544548.3581045",
language = "English",
pages = "1--14",
booktitle = "CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery, Inc.",

}

RIS

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T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

AU - Brown, Barry

AU - Broth, Mathias

AU - Vinkhuyzen, Erik

N1 - Publisher Copyright: © 2023 ACM.

PY - 2023

Y1 - 2023

N2 - Using publicly uploaded videos of the Waymo and Tesla FSD self-driving cars, this paper documents how self-driving vehicles still struggle with some basics of road interaction. To drive safely self-driving cars need to interact in traffic with other road users. Yet traffic is a complex, long established social domain. We focus on one core element of road interaction: when road users yield for each other. Yielding - such as by slowing down for others in traffic - involves communication between different road users to decide who will 'go' and who will 'yield'. Videos of the Waymo and Tesla FSD self-driving cars show how these systems fail to both yield for others, as well as failing to go when yielded to. In discussion, we explore how these 'problems' illustrate both the complexity of designing for road interaction, but also how the space of physical machine/human social interactions more broadly can be designed for.

AB - Using publicly uploaded videos of the Waymo and Tesla FSD self-driving cars, this paper documents how self-driving vehicles still struggle with some basics of road interaction. To drive safely self-driving cars need to interact in traffic with other road users. Yet traffic is a complex, long established social domain. We focus on one core element of road interaction: when road users yield for each other. Yielding - such as by slowing down for others in traffic - involves communication between different road users to decide who will 'go' and who will 'yield'. Videos of the Waymo and Tesla FSD self-driving cars show how these systems fail to both yield for others, as well as failing to go when yielded to. In discussion, we explore how these 'problems' illustrate both the complexity of designing for road interaction, but also how the space of physical machine/human social interactions more broadly can be designed for.

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DO - 10.1145/3544548.3581045

M3 - Article in proceedings

AN - SCOPUS:85160016481

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EP - 14

BT - CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery, Inc.

Y2 - 23 April 2023 through 28 April 2023

ER -

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