CAVeaT: Connected Automated Vehicles trialling and Trustworthiness
The CAVeaT project has the objective to pave the way for automated vehicle trials on the KTH campus roads.
This includes:
- developing the software and systems required for these trials and representative demonstrations,
- obtaining 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.
The project addresses the lack of open research testbeds and challenges remaining for automated vehicle safety and security.
The project leverages 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.
Contacts: Project Lead Prof. Martin Törngren ( martint@kth.se ) and/or Prof. György Dán ( gyuri@kth.se )
Project Period: January 2024 - December 2025
For more information, please see The CAVeaT Project on the Digital Futures homepage.
