Model-based software in-the-loop-test of autonomous systems

abstract

Software for autonomous systems is hard to test, given their complex reactions as well as safety-critical behavior. Here simulation-based testing of the control software using a simulation of the environment and the platform of the system supports verification without threat to system and environment. A model-based construction of the simulated environment enables an effective verification by systematically assessing reliability issues and robustness aspects while improving its efficiency by simplifying the reuse of virtual environment. We demonstrate such a systematic approach for the verification of the control software of an autonomous unmanned arial vehicle, using Simulink as simulation environment.