Audi demonstrated how machine learning via trial and error can aid autonomous vehicles in making decisions at the neural Information Processing Systems conference in Barcelona. The system is based on a convolutional neural network (CNN), which has been used to make deep learning algorithms for image recognition since its inception by Google back in 2009.
Audi demonstrated how machine learning via trial and error can aid autonomous vehicles in making decisions at the neural Information Processing Systems conference in Barcelona. Using a 1:8 scale model of its Audi Q2, known as the Audi Q2 Deep Learning Concept, the company demonstrated how its technology makes intelligent parking possible.