Self-driving vehicles rely on LiDAR, aka Light Detection and Ranging, and AI algorithms to 'see' what's on the road and act accordingly.
The tech helps cars dodge incoming obstacles - cars/people - and navigate. But when it comes to corners, say like a bind turn, it struggles to detect the object on the other side owing to the lack of data.
To tackle this problem, the folks at MIT have developed a solution called 'ShadowCam'.
The system employs a series of cameras to analyze a very specific region of the road - the point where two perpendicular paths meet - and discern falling shadows to determine if a vehicle or person is coming from around the corner.
While this could be a major upgrade for self-driving vehicles, it's worth noting that it is still in development. The tech was able to beat LiDar by over half a second, but that was in artificial lighting. Natural light tests are yet to be conducted.