Beginning with a human driver at the wheel, the Audi Q7 deep learning concept gained a limited familiarity with the route and the surroundings, by means of observation and with the help of additional training cameras. That established a correlation between the driver’s reactions and the occurrences detected by the cameras.
During the subsequent demonstration drives the car is then able to understand instructions, like from a temporary traffic signal, interpret them right away and act as the situation requires. When a corresponding signal appears, the concept car immediately changes the driving strategy and selects either the short route or the long one. The design of the system is so robust that it can even cope with disturbance variables such as changing weather and light conditions. It masters its tasks day and night, and even in direct sunlight or harsh artificial light.
During the subsequent demonstration drives the car is then able to understand instructions, like from a temporary traffic signal, interpret them right away and act as the situation requires. When a corresponding signal appears, the concept car immediately changes the driving strategy and selects either the short route or the long one. The design of the system is so robust that it can even cope with disturbance variables such as changing weather and light conditions. It masters its tasks day and night, and even in direct sunlight or harsh artificial light.
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- Car Tech
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