Monday, 21 October 2013 09:46

Next Generation Test Methods for Active Safety Functions

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Next Generation Test Methods for Active Safety Functions http://www.flickr.com/photos/27147/3411775886/sizes/m/in/photostream/

Using computer simulations in connection with the development, testing and validation of active safety functions is a cost efficient method. However, these simulations must be validated using controlled, physical proving ground tests. In order to make the usage of proving ground tests more efficient, since that is rather expensive and time consuming to use, the NG–TEST project aims to establish a tool chain from computer desktop simulations, via driving simulators and augmented reality testing, to driver-less proving ground tests. It should be possible to seamlessly transfer test scenarios from one tool to another.

A scaled car test track lab, for development and testing of active safety functions for cars and trucks, is currently under development in the Adaptive systems research group at Chalmers University of Technology. The scaled car test track environment is intended as a tool for, for example, rapid verification of scenarios before executing them in the real automated vehicles on the full–scale proving ground.

Within the NG–TEST context, the STT lab constitutes an efficient rapid prototyping tool for design and verification of scenarios, especially in those situations where driver behavior aspects are important. Furthermore, it is also a powerful visualization tool, which could benefit the developers, sponsors and customers of active safety functions. A large part of the research that will be carried out using the STT lab will focus on how such a lab can be used in connection with active safety system research, and how it could benefit the NG–TEST process. Compared with a full–scale vehicle, the down-scaling certainly give raise to non-linear scaling of the behaviors of the model car, e.g. maximum cornering speeds will exceed those of full– scale cars. Therefore, the research will mainly focus on issues related to test scenario and driver behavior aspects, rather than questions where very realistic vehicle dynamics is important.

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Krister Wolff

Senior lecturer

Krister Wolff is doing research within bio-inspired computational methods for optimization in connection with autonomous robots and intelligent vehicle technologies, e.g. development of active safety systems for vehicles and driver modeling.

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