Augmented reality obstacle detection for in-vehicle sensor fusion

Advanced Driver Assistance System or ADAS is used in vehicles to make driving as safe as possible. For that reason ADAS uses sensors, lidars, radars and cameras to enable vehicles to perceive everything that surrounds them. So many different components require processing and analyzing large amounts of data. This paper proposes layered architecture for software which collects data from ultrasonic sensors, processes it and deploys to higher layers of the system.