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Detecting hazardous events : a framework for automated vehicle safety systems
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Dannier, Xiao, Geiger, William Goncalves, Hakan, Yekta Yatbaz, Dianati, Mehrdad and Woodman, Roger (2022) Detecting hazardous events : a framework for automated vehicle safety systems. In: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 8-12 Oct 2022. Published in: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) ISBN 9781665468800. doi:10.1109/ITSC55140.2022.9921988
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WRAP-detecting-hazardous-events-framework-automated-vehicle-safety-system-2022.pdf - Accepted Version - Requires a PDF viewer. Download (1704Kb) | Preview |
Official URL: https://doi.org/10.1109/ITSC55140.2022.9921988
Abstract
The driving domain is inherently dangerous. To develop connected and automated vehicles that can detect potential sources of harm, we must clearly define these hazardous events and metrics to detect them. The majority of driving scenarios we face do not materialise harm, but we often face potentially hazardous near-miss scenarios. Potential harm is difficult to quantify when harm is not materialised; thus, few metrics detect these scenarios in the absence of collision and even fewer datasets label non-collision-based hazardous events. This study focuses on detecting near-miss scenarios due to other actors since human error is the primary source of harm. We first provide a concise overview of current event-specific metrics. We then propose an event-agnostic detection framework that exploits vehicle kinematics to detect evasive manoeuvres early and dynamically calculate minimum safe distances. Given inconsistent dataset labelling methods and collision-focused events, we provide a preliminary study to demonstrate an eventagnostic and configurable dataset annotation technique to label hazardous events, even when harm is not materialised. We show promising results detecting hazardous scenes on a labelled simulation benchmark, GTACrash.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Automated vehicles, Automated vehicles -- Safety measures, Intelligent transportation systems | ||||||
| Journal or Publication Title: | 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781665468800 | ||||||
| Official Date: | 1 November 2022 | ||||||
| Dates: |
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| DOI: | 10.1109/ITSC55140.2022.9921988 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 21 July 2022 | ||||||
| Date of first compliant Open Access: | 22 July 2022 | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Macau, China | ||||||
| Date(s) of Event: | 8-12 Oct 2022 | ||||||
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