Valid data is crucial for the successful development of algorithms for assistance systems for autonomous driving. The operating systems need a thorough annotation with the so-called ground truth information. During the validation of image capture, more than 100 TB of data have to be recorded and analyzed per vehicle per day. With the Data Labeler, Bertrandt has developed a tool in order to realize high-performance handling and automated analysis of these data.
