Audi demonstrates adaptive parking technology via Q2 deep learning concept - The Coverage Automotive

Audi demonstrates adaptive parking technology via Q2 deep learning concept

As what everyone of us who had gone through months of driving lessons and tests some times on our lifetime, parking is a skill that can be quite a hassle and takes a huge amount of practice to perfect it. With each parking situation you encounter, your skills are improved and you are able to adapt if needed. To combat this issue, Audi has came up with the Audi Q2 deep learning concept.

Introduced at the 13th Conference and Workshop on Neural Information Processing Systems (NIPS) in Barcelona, the concept is small in size (a 1:8 scale model) but packs a lot of tech to demonstrate an intelligent parking procedure.

Mounted on the concept are pair of mono cameras at the front and rear, along with ten ultrasonic sensors positioned at points all around the “car.” The information is relayed to an on-board computer that in turn, converts them into control signals for the steering and electric motor.

During the presentation, Audi engineers set the idea in an encased space no bigger than 3 x 3 meters, and permitted it to self-rulingly look for and locate an appropriate parking spot as a metal casing, before continuing to stop itself there.

In detail, the model car first recognizes its position with respect to the parking spot. When it has finished that, it will then figure how it guide itself to the focused on goal, and will move, direct and drive forward or in turn around, to get itself stopped legitimately.

In contrast with the current systems that require some type of human information, and the car to be situated in a specific way before any self-governing stopping move is attempted, the car does everything all alone.


According to Audi, the concept’s algorithm first learns on a computer simulation with a large number of repetitions. Through profound support learning, positive outcomes from every reenactment are compensated with a high score. In this way, the calculation learns through experimentation, enhancing with every test so it might have the capacity to take care of troublesome issues (stopping for this situation) autonomously.

This type of artificial intelligence (AI) is viewed as an important component in the future of autonomous mobility, particularly in urban traffic. Steered driving cars will have the capacity to evaluate its unpredictable environment, and have the capacity to guide itself as needs be, without requiring human info.

Albeit at present an idea as a major aspect of a pre-development extend by Audi Electronics Venture (AEV), the designers are wanting to exchange the parking spot look procedure to a genuine car later on.

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