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Research paper | Open Access

SOTIF risk mitigation based on unified ODD monitoring for autonomous vehicles

Wenhao Yu1, Jun Li1, Li-Ming Peng2( ), Xiong Xiong3, Kai Yang4, Hong Wang1
School of Vehicle and Mobility, Tsinghua University, Beijing, China
Department of Vehicle Engineering, Hefei University of Technology, Hefei, China
Department of Decision and Control and Department of Aeronautical and Vehicle Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

This paper forms part of a special section “Intelligent Safety for Intelligent and Connected”, guest edited by Jun Li.

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Abstract

Purpose

The purpose of this paper is to design a unified operational design domain (ODD) monitoring framework for mitigating Safety of the Intended Functionality (SOTIF) risks triggered by vehicles exceeding ODD boundaries in complex traffic scenarios.

Design/methodology/approach

A unified model of ODD monitoring is constructed, which consists of three modules: weather condition monitoring for unusual weather conditions, such as rain, snow and fog; vehicle behavior monitoring for abnormal vehicle behavior, such as traffic rule violations; and road condition monitoring for abnormal road conditions, such as road defects, unexpected obstacles and slippery roads. Additionally, the applications of the proposed unified ODD monitoring framework are demonstrated. The practicability and effectiveness of the proposed unified ODD monitoring framework for mitigating SOTIF risk are verified in the applications.

Findings

First, the application of weather condition monitoring demonstrates that the autonomous vehicle can make a safe decision based on the performance degradation of Lidar on rainy days using the proposed monitoring framework. Second, the application of vehicle behavior monitoring demonstrates that the autonomous vehicle can properly adhere to traffic rules using the proposed monitoring framework. Third, the application of road condition monitoring demonstrates that the proposed unified ODD monitoring framework enables the ego vehicle to successfully monitor and avoid road defects.

Originality/value

The value of this paper is that the proposed unified ODD monitoring framework establishes a new foundation for monitoring and mitigating SOTIF risks in complex traffic environments.

Keywords

Autonomous vehicleODD monitoringOperational design domainSafety of the intended functionalityTraffic rule compliance

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Journal of Intelligent and Connected Vehicles
Volume 5 Issue 3,
October 2022
Pages 157-166
DOI: 10.1108/JICV-04-2022-0015
Cite this article:
Yu W, Li J, Peng L-M, et al. SOTIF risk mitigation based on unified ODD monitoring for autonomous vehicles. Journal of Intelligent and Connected Vehicles, 2022, 5(3): 157-166. https://doi.org/10.1108/JICV-04-2022-0015

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Received: 26 April 2022
Revised: 20 May 2022
Accepted: 25 May 2022
Published: 28 June 2022
© 2022 Wenhao Yu, Jun Li, Li-Ming Peng, Xiong Xiong, Kai Yang and Hong Wang. Published in Journal of Intelligent and Connected Vehicles. Published by Emerald Publishing Limited.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode
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