Simple rule: If you can’t judge distances you shouldn’t drive. The problem: judging distances is anything but simple. We humans, of course, have two high-resolution, highly synchronized visual sensors — our eyes — that let us to gauge distances using stereo-vision processing in our brain.
Autonomous vehicles must use computational methods and sensor data, such as a sequence of images, to figure out how an object is moving in time.
Navigating a traffic-light controlled intersection may seem routine. But when the NVIDIA BB8 autonomous test vehicle first performed that task last year, it had our engineers smiling.
Having confidence in a self-driving car’s ability to use data to perceive and choose the correct drivable path while the car is driving is critical. We call this path perception confidence.