Audi Q2 Deep Learning Concept shows how machine learning can be used to refine self-parking

At the Neural Information Processing Systems (NIPS) conference in Barcelona Spain, Audi demonstrated how machine learning is a better option compared to explicit programming where a vehicle can actually refine its own maneuvers by learning using trial and error. Audi tagged its demonstration as Automatic intelligent parking. And no this was not an full-sized Audi Q2, but a miniature 1:8 scale model. The model is called the Audi Q2 Deep Learning Concept and at the NIPS, its sole purpose was to demonstrate an intelligent parking process. The 1:8 scale model replete with sensors, was placed on a 3×3 meters area with parking brackets marked on the floor using a metal frame. The model autonomously searches for the parking area, finds a suitable parking space (the metal frame) and then parks itself there.…


Link to Full Article: Audi Q2 Deep Learning Concept shows how machine learning can be used to refine self-parking

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!