Zhang, Xizhe, Khastgir, Siddartha and Jennings, Paul. A. (2020) Scenario description language for automated driving systems : a two level abstraction approach. In: IEEE International Conference on Systems, Man, and Cybernetics , Virtual conference, 11-14 Oct 2020. Published in: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ISBN 9781728185279. doi:10.1109/SMC42975.2020.9283417

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Abstract

The complexities associated with Automated Driving Systems (ADSs) and their interaction with the environment pose a challenge for their safety evaluation. Number of miles driven has been suggested as one of the metrics to demonstrate technological maturity. However, the experiences or the scenarios encountered by the ADSs is a more meaningful metric, and has led to a shift to scenario-based testing approach in the automotive industry and research community. Variety of scenario generation techniques have been advocated, including real-world data analysis, accident data analysis and via systems hazard analysis. While scenario generation can be done via these methods, there is a need for a scenario description language format which enables the exchange of scenarios between diverse stakeholders (as part of the systems engineering lifecycle) with varied usage requirements. In this paper, we propose a two-level abstraction approach to scenario description language (SDL) - SDL level 1 and SDL level 2. SDL level 1 is a textual description of the scenario at a higher abstraction level to be used by regulators or system engineers. SDL level 2 is a formal machine-readable language which is ingested by testing platform e.g. simulation or test track. One can transform a scenario in SDL level 1 into SDL level 2 by adding more details or from SDL level 2 to SDL level 1 by abstracting.

Item Type:	Conference Item (Paper)
Alternative Title:
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Automated guided vehicle systems, Automated vehicles, Cooperating objects (Computer systems), Driver assistance systems -- Design, Motor vehicles -- Technological innovations, Scenarios -- Methodology, Software engineering
Journal or Publication Title:	2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Publisher:	IEEE
ISBN:	9781728185279
Official Date:	14 December 2020
Dates:	Date Event 14 December 2020 Available 21 August 2020 Accepted
DOI:	10.1109/SMC42975.2020.9283417
Status:	Peer Reviewed
Publication Status:	Published
Reuse Statement (publisher, data, author rights):	© 2020 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
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID 103700 Innovate UK http://dx.doi.org/10.13039/501100006041 104529 Innovate UK http://dx.doi.org/10.13039/501100006041 MR/S035176/1 UKRI Future Leaders Fellowship UNSPECIFIED
Conference Paper Type:	Paper
Title of Event:	IEEE International Conference on Systems, Man, and Cybernetics
Type of Event:	Conference
Location of Event:	Virtual conference
Date(s) of Event:	11-14 Oct 2020
Related URLs:	Organisation

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