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CAVeaT Connected Automated Vehicles trialling and Trustworthiness

Project period
January 2024 – December 2025


  • Develop the software and systems required for automated vehicle trials and representative demonstrations on KTH campus roads,
  • Obtain approval from the Swedish Transport Agency for public road trials on the KTH campus with plans to expand the operational design domain gradually,
  • Provide open data from on-vehicle and roadside sensors in a GDPR and data act-compliant way to foster open science and
  • Enhance and mature open-source toolchains to support demonstrations and research, addressing safety and adversarial attacks on situational awareness of autonomous vehicles and their countermeasures.

Despite the enormous investments in automated vehicles, there are still challenges regarding safety and security. Moreover, open research testbeds are lacking to address these challenges. The CAVeaT project will address those needs.

The project will leverage advances and resources made available from industrial partners, from the TECoSA edge-computing and 5G testbed, and from the ITM and EECS schools at KTH, including the AD-EYE platform and an adversarial attack pipeline for autonomous driving simulation.

Crossdisciplinary collaboration
The researchers in the team represent the KTH School of Industrial Engineering and Management and the KTH School of Electrical Engineering and Computer Science.

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Picture of Martin Törngren

Martin Törngren

Professor Unit of Mechatronics and Embedded Control Systems at KTH, Member of the Strategic Research Committee, Chair Working group Digitalized Industry, PI: PERCy, PI: CAVeaT Connected Automated Vehicles trialling and Trustworthiness, Co-PI: Susan’s Ride on Campus2030, Co-PI: Digitalized Industry 5.0 research towards a circular economy and community, Digital Futures Faculty

+46 8 790 63 07

György Dán

Professor, Division of Network and Systems Engineering at KTH, Member of the Strategic Research Committee, Chair working group Cooperate, PI of research project Susan’s Ride on Campus2030, PI of research project Causal reasoning for real-time attack identification in cyber-physical systems, Co-PI of demo project CAVeaT Connected Automated Vehicles trialling and Trustworthiness, Co-PI of research project Learning in Routing Games for Sustainable Electromobility, Digital Futures Faculty

+46 8 790 42 53