Safety and Security Aspects of Fail-Operational Urban Surround perceptION (FUSION)

Among the strong trends that are impacting society, autonomous driving stands out clearly as one of the prime candidates to cause disruptive changes in automotive industry. Fully automateddriving is identified as a major enabler for mastering the grand societal challenges of safe, clean, and efficient mobility. A major probationfor highly automateddriving is the step change from partial to conditional automationand above. At these high levels of automation, the driver is unable to intervene in a timely and appropriate manner. Consequently, the automationmust be capable of independently handling safety-critical situations. Fail-operational behavior is essential at all layers of automateddriving. These layers include sensing, computation and vehicle architecture. The PRYSTINE project targets realization of Fail-operational Urban Surround perceptION (FUSION), based on robust Radar and LiDAR sensor fusion, and control functions enabling safe automateddriving. PRYSTINE addresses development and validation of new fail operational platforms, as well as high performing and dependable sensor fusionon different levels. In this paper, an overview of fail-operational approaches on different layers (vehicle and sensor level) is provided, together with a description of the interplay between safety and security aspects. It is further enhanced with description of a fail-operational sensor-fusionframework on component and system level.