Artificial intelligence enters ADAS

Road traffic holds many complex situations in store - situations that could possibly overtax a conventional driver assistance system. In a joint project with Technical University Darmstadt (Germany), automotive supplier Continental has now investigated the use of machine learning in such systems. The "trustworthiness" of the AI plays an important role.

In the fourth round of the Proreta research project, the partners Continental and TU Darmstadt developed a machine-learning vehicle system that supports drivers in inner-city traffic situations and implemented a prototype. Data from radar sensors help to assess the traffic situation when turning left, entering a roundabout or passing right-over-left junctions. Machine Learning mechanisms were used in the project to generate algorithms that use various vehicle data to generate a current driving type profile of the person behind the steering wheel. On this basis, the City Assistant System's recommendations for driving manoeuvres are adapted to the driver's driving style.

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