Integrated modular safety system design for intelligent autonomous vehicles

Thomas Drage, Kai Li Lim, Joey En Hai Koh, David Gregory, Craig Brogle, Thomas Braunl

Research output: Chapter in Book/Conference paperConference paperpeer-review

2 Citations (Scopus)


This paper presents an approach to specifying a modularised safety system which comprehensively addresses the safety requirements for highly autonomous (SAE Level 3+) road vehicles featuring advanced sensing and automated navigation. As these requirements are often overlooked in similar autonomous driving system proposals, we present a method of hazard and risk analysis which investigates hardware failures, environmental perception limitations, human interaction and functional requirements for artificial intelligence. We then define a system design which implements the required safeguards and examines the application on two electric autonomous vehicle testbeds: a race car and a shuttle bus. The close-coupling of a safety-oriented architecture and multi-regime Hazard and Risk Assessment process was tested to measure the system's ability to detect and react to pedestrian stimuli, resulting in accurate detections and reactions, thereby confirming its ability to design safety systems for autonomous research vehicles in a scalable and easily assured fashion.

Original languageEnglish
Title of host publication32nd IEEE Intelligent Vehicles Symposium, IV 2021
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781728153940
Publication statusPublished - 11 Jul 2021
Event32nd IEEE Intelligent Vehicles Symposium, IV 2021 - Nagoya, Japan
Duration: 11 Jul 202117 Jul 2021

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings


Conference32nd IEEE Intelligent Vehicles Symposium, IV 2021


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