Mining test inputs for autonomous vehicles

Testing of Advanced Driving Assistance Systems (ADAS) with higher level of autonomy is becoming increasingly complex. A variety of situations needs to be tested to ensure a sufficient test coverage. In normal driving condition, this requires enormous amounts of driven kilometers. Our presented approach extracts scenario information from observed simulations and identifies test-cases.