In the fourth stage of the Proreta research project, technology company Continental and TU Darmstadt have developed a machine-learning vehicle system designed to support drivers in urban traffic and have installed it in a prototype.
Data from radar sensors helps drivers to assess the traffic situation when turning left, entering a roundabout or at right-before-left intersections.
Machine-learning has played a key role in the three-and-a-half-year research project. Algorithms create an always up-to-date driver profile based on a range of vehicle data, allowing them to adapt the driving maneuver recommendations given by the City Assistant System in line with the driving style.
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