Collision avoidance detection in cars is commonplace, but until now, motorcycles haven’t been able to take advantage of similar tech. The tilt of the bike and rider behaviour, such as riding between lanes and cars, makes the task of a machine recognising danger qualitatively different than it is for cars. Moreover, with motorcycles being less crashworthy, the stakes are correspondingly higher.
Ride Vision uses two wide-angle cameras, and a combination of image recognition and predictive AI algorithms to help riders make critical decisions in real time while keeping their focus on the road, and is the first all-encompassing solution that can properly account for positional roll and rider behaviour.
