DRIVE Labs
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To Go the Distance, We Built Systems That Could Better Perceive It
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.
DRIVE Labs: Predicting the Future with RNNs
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.
DRIVE Labs: Pursuing Perfection for Intersection Detection
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.
DRIVE Labs: How We’re Building Path Perception for Autonomous Vehicles
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.