AI Co-Pilot: RNNs for Dynamic Facial Analysis

NVIDIA AI Co-Pilot combines deep learning and visual computing to enable augmented driving — using sensor data from a microphone inside the car, and interior/exterior cameras to track the environment around the driver … Read more

Satellite Images Help Track a Vehicle

Researchers from the Toyota Technological Institute at Chicago (TTIC) and Carnegie Mellon University developed a deep learning-based method that locates a ground vehicle by using satellite imagery as the only prior knowledge of the environment … Read more

GPU Technology Conference 2017: Call for Submissions Now Open

Take part in the world’s top GPU developer event May 8 -11, 2017 in Silicon Valley where artificial intelligence, virtual reality and autonomous vehicles will take center stage. GTC 2017 provides developers and thought leaders with the opportunity to share their work with thousands of the world’s brightest minds … Read more

Ford Using Deep Learning for Lane Detection

Researchers from the recently expanded Ford Research and Innovation Center in Palo Alto, California developed a new sub-centimeter accurate approach to estimate a moving vehicle’s position within a lane in real-tim … Read more

NVIDIA GPUs Power First Self-Driving Shuttle

The six-passenger WEpod shuttle became the world’s first vehicle without a steering wheel to be given license plates. Without any special lanes, magnets or rails, the shuttle successfully navigates between two towns in the Netherlands … Read more

GPUs are the Unlikely Secret Making Cars Much Smarter

In a recent interview with TIME, NVIDIA’s senior director of automotive Danny Shapiro shares how the company’s innovations in gaming graphics are well-suited to the needs of autonomous vehicles. Driverless cars, which take passengers from A to B with minimal human input, are already hitting American roads … Read more

A Car That Can Anticipate Your Next Driving Maneuver

Through a project called Brain4Cars, Stanford and Cornell researchers released a new architecture consisting of Recurrent Neural Networks (RNNs) that use Long Short-Term Memory (LSTM) units to predict driving maneuvers several seconds in advance. This enables assistive cars to … Read more