A safety-preserving ecosystem for autonomous driving

Project Member(s): Yu, S.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Australian Research Council (ARC Linkage Projects)

Start year: 2021

Summary: In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safetypreserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industryscale autonomous systems.

FOR Codes: Distributed and Grid Systems, Computer System Security, Road Safety, Road Passenger Movements (excl. Public Transport), Machine learning, Distributed computing and systems software, Cybersecurity and privacy

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.