Audi gets smaller and smarter with self parking

A little different from other self-parking research vehicles we’ve seen, Audi’s Q2 deep learning concept is a 1:8-scale model that relies on machine learning to help it hunt down its mini parking space and maneuver itself inside. Cameras and ultrasonic sensors route data through a central computer, which controls navigation, and the car learns from trial and error, continuously refining its self-parking capabilities. This type of learning will be integral in giving real autonomous vehicles the ability to handle complex driving situations safely and efficiently. Audi is showcasing its scale self-parking Q2 at the Conference and Workshop on Neural Information Processing Systems (NIPS) in Barcelona this week. The car demonstrates Audi’s ongoing research in artificial intelligence and machine learning. A pre-development project of Audi subsidiary Audi Electronics Venture, the Q2…


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