Model-based (Robustness) Testing of Vision Components of Robotic Systems

This paper outlines a model-based approach for testing the robustness of computer vision solutions with respect to a given task or application. The outlined approach enables the automatic generation of test data with a measurable coverage of optical situations both typical as well as critical for a given application. In addition correct ground truth data is generated, all with almost no manual effort.