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  • TADDO2: Trustworthy Automated Driving DevOps, continued

    The need for updates in functionality, quality, and safety is increasing for automated vehicles (AV). TADDO2 aims to combine DevOps with rigorous development methods adhering to safety standards, focusing on specification, verification, monitoring of operational data and safety assessments. The project´s goal is to reduce risk and cost for developing, verifying and implementing new functionality for AVs with high safety requirements.

  • NEXSoS (Network-Enabled eXchange of critical information in Systems-of-Systems)

    For future networks to enable digitalisation of new areas, including critical applications, new network services and improvement of basic network properties such as robustness and security are needed. NEXSoS will evaluate how different actors and systems can cooperate, share data, and create a common situational awareness in the chosen situation - fighting forest fires - in accordance with current legislation for data privacy and data sharing.

  • AD-EYE

    AD-EYE is a testbed for Automated Driving (AD) and Intelligent Transportation Systems (ITS). It is anchored at the Division of Mechatronics and Embedded Control Systems at KTH Royal Institute of Technology.

  • Entice - Enablers for trustworthy, infrastructure supported, autonomous vehicles

    An open testbed and reference architecture to promote safety! Autonomous vehicles (AV’s) are likely to drastically change most aspects of driving – but AV’s are themselves highly complex and it is today unclear how to make them safe enough. The Entice project will investigate how connectivity and collaboration with a smart digital infrastructure can improve this situation.