Efficient Computer Vision ADAS Hardware for Connected and Autonomous Vechicles

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Bringing the next generation of Advanced Driver Assistance Systems (ADAS) hardware to automobiles iscomplex, expensive, iterative and slow. Development and rollout in the marketplace is further slowed by thehigh standards naturally required by the car industry. A major consequence of this situation is that advancedcomputer vision algorithms, which are used in other industries for human safety, are not appearing as quicklyas they should within the increasingly connected cars on the roads today. This project is to explore thefeasibility of developing a new technology in realtime image processing to drastically reduce the iteration timesof producing ADAS hardware. The project will produce hardware versions of key algorithms using our softwareand evaluate the efficiency of our new process. If successful this project would see the UK well-placed to be atthe forefront of owning the IP within all the chips in future car models and leading the way in making our roadssafer.