Research centre established by:

KTH, Stockholm University and RISE
A woman interviews a man with glasses in a lab setting, holding a TV4 microphone. Behind them, a screen displays a Volvo car dashboard. Swedish text and project headline appear on the screen.

CAVeaT project featured on Swedish national TV

On 5 June 2025, the Connected Automated Vehicles trialling and Trustworthiness (CAVeaT) project at KTH was highlighted on Nyhetsdagen, a popular Swedish news program broadcast on TV4. Two dedicated segments showcased the operations of the AD-EYE testbed and explored the cutting-edge research driving safer and more trustworthy autonomous vehicle technologies.

A man wearing glasses and a grey shirt speaks in front of a TV4 microphone. The lower third reads, “Forskningsprojekt: Så redo är vi för självkörande fordon.” Industrial equipment and large windows are visible in the background.

The broadcasts featured interviews with Professor Martin Törngren (PI, Mechatronics and Embedded Control Systems, ITM), José Manuel Gaspar Sanchez (PhD student, KTH), and Marcus Nolte (Postdoc, Technische Universität Braunschweig and Guest Researcher at KTH). The interviews were conducted in both Swedish and English, reflecting the international and collaborative nature of the project.

A man is being interviewed on TV4 next to a screen displaying red sonar graphics. The news headline in Swedish discusses the readiness for self-driving vehicles, and the man is identified as a doctoral student.
A man speaks in an interview, gesturing with his hand. He sits in front of a computer displaying diagrams. On-screen text in Swedish identifies him as Marcus Nolte, a postdoctoral researcher in autonomous vehicle system safety.

CAVeaT, funded by Digital Futures, is developing the software, systems, and safety frameworks needed to enable automated vehicle trials on the KTH campus roads. The project aims to:

  • Secure approval from the Swedish Transport Agency for public road trials, with plans to gradually expand the operational design domain.
  • Provide open, GDPR- and Data Act-compliant datasets from on-vehicle and roadside sensors to foster open science.
  • Enhance open-source toolchains to support demonstrations and research, particularly in the areas of safety, cybersecurity, and adversarial attack resilience.

Despite massive global investments in automated driving, significant challenges remain in safety, security, and trustworthiness. CAVeaT directly addresses these gaps by building a cross-disciplinary, open research testbed, leveraging resources from industrial partners, the TECoSA edge-computing and 5G testbed, and expertise from KTH’s ITM and EECS schools.

The research team is led by Professor Martin Törngren (PI, Mechatronics and Embedded Control Systems, ITM) and Professor György Dán (Co-PI, Network and Systems Engineering, EECS).

The two Nyhetsdagen clips featuring the project can be viewed here:

This national exposure underlines the importance of building public trust in automated mobility and highlights KTH’s role at the forefront of autonomous vehicle research and innovation.

Text: Johanna Gavefalk

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