Abstract
With Advanced Driver Assistance Systems becoming increasingly complex, testing methods must keep up to efficiently test and validate these systems. This paper focuses on a method of testing vision-based Advanced Driver Assistance Systems on a state-of-the-art hardware-in-the-loop test bench. Virtual driving scenarios are being used for functional testing. This paper suggests a framework where the driving scenarios are constructed using a stochastical approach. This allows the testing of the parameter combinations that might otherwise be forgotten or disregarded by a human creating the scenarios. The first step of this framework, a road generator, is introduced. Generic courses of roads are created using the Markov Chain and Markov Chain Monte Carlo methods reconstructing real-life scenarios by analyzing map data.
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Notes
- 1.
“Markov Chain” is used as reference to indicate a Markov process with a finite number of states.
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Prialé Olivares, S., Rebernik, N., Eichberger, A., Stadlober, E. (2016). Virtual Stochastic Testing of Advanced Driver Assistance Systems. In: Schulze, T., Müller, B., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2015. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-20855-8_3
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DOI: https://doi.org/10.1007/978-3-319-20855-8_3
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