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Continuous Evaluation of Methods for Sensor Data Fusion of Video-
Based Driver Assistance Systems, Using Virtual Road Tests
FAST11/TS1-7-1-5

Authors

Bernhard Schick, IPG Automotive GmbH

Abstract

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 and situation 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 (Advanced Driver Assistance Systems), 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 IPG CarMaker vehicle dynamics simulation for functional testing of sensor data fusion algorithms.

Keywords: Modeling and Simulation Technology / Driver Assistance System / Vehicle Dynamics/ Active Safety / Vehicle Control / Sensor Data Fusion / Image Processing

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