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A Nissan Vmotion 2.0 concept car at the North American International Auto Show (NAIAS).
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German carmaker Audi aims to gain a lead over its rivals, BMW, Ford and Telsa in bringing self-driving cars to its customers. Audi has partnered with NVIDIA and Mobileeye on piloted driving. At the Consumer Electronics Show (CES) in Las Vegas, Audi is presenting the Audi Q7 deep learning concept, a piloted driving car made possible thanks to collaboration with NVIDIA. The car orients itself by means of a front camera with 2 megapixel resolution, and the camera communicates with an NVIDIA Drive PX 2 processing unit, which in turn controls the steering with high precision. The high-performance controller is specially engineered for piloted driving applications. 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. So during the subsequent demonstration drives the car is 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. Artificial intelligence is a game-changing key technology for piloted driving – of this Audi is convinced, which is why it is working closely with the leaders in the electronics industry. Together with its partners, Audi is evaluating various approaches and methods for machine learning. In the new Audi A8, Audi and Mobileye are demonstrating the next level of development – with image recognition that uses deep learning methods for the first time. This significantly reduces the need for manual training methods during the development phase. Deep neural networks enable the system to be self-learning when determining which characteristics are appropriate and relevant for identifying the various objects. With this methodology the car can even recognize empty driving spaces, an important prerequisite for safe, piloted driving. The traffic jam pilot function will be offered in a series production model for the first time in the new A8. This is the first piloted driving function in series production that will enable the driver to let the vehicle take over full control at times. With this step the stage is set to begin the next decade with higher levels of automation in a growing number of driving situations.
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Audi To Build A Self-Driving Car

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Hands off – but do we trust the car?
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Finding Trust And Understanding In Autonomous Technologies

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