New approach to mitigate the unknown environmental impact on perception
Autonomous systems are increasingly being used in various safety-critical applications, such as autonomous driving. Especially here, the environment and operating conditions are of crucial importance. Machine Learning components (e.g., Deep Neural Network (DNN) serve as enablers and therefore themselves must continue to operate reliably despite changing environmental conditions. Fraunhofer IKS provides a solution that handles such diverse and continuously changing environmental conditions.