The automotive industry is rapidly moving towards the adoption of new hardware solutions, such as multi- and many-core processors, FPGAs and neural networks in order to comply with the increasingly number of ECUs and the high computational power required by future autonomous cars and advanced vision processing. Moreover, with the emerging trends in autonomous driving such as V2X communication and Internet of Cars, security is also arising as a serious concern for many automotive players. Therefore, new architecture solutions pose numerous challenges such as migrating legacy code, data fusion and processing of a multitude of sensors piling into autonomous cars, mapping affecting processing power demands in new systems architectures, employment of deep learning and other advanced AI techniques, the verification and validation of timing safety and providing secure interfaces to connect the cars to each other and to the outside world.
The goal of this workshop is to bring together researchers as well as practitioners from academia and industry to discuss and investigate cutting-edge methods and tools that will be driving technology innovation in the field of autonomous systems in order to devise highly efficient systems and systems-of-systems for future self-driving cars.
The program of the workshop will include invited talks from industry and academia experts. In addition, the workshop welcomes contributions for interactive discussion using poster presentations.