The vehicle of the future will support drivers in critical situations and alert them to potential hazards by means of Advanced Driver Assistance Systems (ADAS). Sensor-based perception of the relevant traffic conditions is essential in this context. The current evaluation approach of real-world road tests will no longer be sufficient due to the high complexity of the system interactions. New simulation methods are needed to test and evaluate ADAS, using virtual road tests with realistic vehicle behavior and a complex traffic environment. This paper describes a new simulation technology which has the capability of integrating virtual cameras in addition to the commonly known environment sensors (radar, lidar, ultrasonic) in the CarMaker vehicle dynamics simulation for functional testing of sensor data fusion algorithms.
Evaluation of video based driver assistance systems with sensor data fusion by using virtual test driving
2011
14 Seiten, 14 Bilder, 4 Quellen
Aufsatz (Konferenz)
Englisch
British Library Conference Proceedings | 2011
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