Smart Fleet Analysis with Focus on Target Fulfillment and Test Coverage

A new method is described regarding over-the-air analysis of fleet data on a backend server in order to optimize driving routes and to evaluate the performance fulfillment level of ADAS. With this e.g. insufficient coverage of maneuver diversity can be corrected immediately and new driving routes adjusted to avoid inefficient wasted kilometers during real road validation of assistance features in the fleet. Thus, one of the most relevant demands from vehicle manufacturers is addressed, namely, a significant reduction of the effort for validation without compromising safety, quality and reliability of ADAS functions.Testing of vehicle fleets under real conditions on public roads is an essentiapart for the validation of assistance functions. The primary goal is to evaluatsafety, reliability, robustness and target-compliant performance of assistance functions under the greatest possible variety of environmental conditions, traffic situations and driving maneuvers. The challenge is that the great effort to collect the test data is complemented by time-consuming effort on data analysis. This may result in the worst case that relevant findings only become available after the test program has already finished.The new over-the-air method consists of the four core elements driver guidance, secure data transmission, automated maneuver evaluation and web-based data enrichment including a statistical analyzer on a backend server. Useful applications including practical examples and figures are highlighted in the next chapters. Advantages versus conventional approaches are discussed. Finally, an outlook to potential extensions is shown.