Researchers design AI-based early warning system for autonomous cars

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With massive importance being given to passenger safety in self-driving cars, a squad of researchers from the Technical University of Munich (TUM), in this regard, has designed a new early warning AI-based system for autonomous vehicles. As per reliable reports, a study was recently carried out in association with the BMW Group, which was published in the journal IEEE Transaction on Intelligent Transportation Systems. The results of the study depicted that, when used in the self-driving vehicles of today, the system can warn seven seconds in advance, with an efficiency and accuracy of 85%, against critical situations that the cars cannot handle alone. Notably, the technology makes use of cameras and sensors to capture surrounding conditions and environment while simultaneously recording the data for vehicle such as road conditions, speed, visibility, and steering wheel angle. The AI-system then, based on recurrent neural network, learns to detect patterns with the procured data.

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