Detecting hazardous events : a framework for automated vehicle safety systems

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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)
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:
Date
Event
1 November 2022
Published
16 June 2022
Accepted
DOI: 10.1109/ITSC55140.2022.9921988
Status: Peer Reviewed
Publication Status: Published
Re-use Statement: © 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:
Project/Grant ID
RIOXX Funder Name
Funder ID
UNSPECIFIED
Warwick Manufacturing Group
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
Related URLs:
URI: https://wrap.warwick.ac.uk/167529/

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