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Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the Loop

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8887))

Abstract

One of the great challenges for the release of automated vehicles is the verification and evaluation of their cognitive skills. Therefore, Vehicle-in-the-loop testing provides an adequate tool, combining real test drives with simulations. In this paper we present our innovative Vehicle-in-the-loop framework: First, a marker-based head tracking is presented, which is able to track the driver’s head in presence of vehicle’s movement and illumination influences. Second, we present our realization based on the Open-Source framework ROS with an exemplary coupling to the professional simulation tool CarMaker. Finally, we evaluate our approach in different driving scenarios.

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© 2014 Springer International Publishing Switzerland

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Zofka, M.R., Kohlhaas, R., Bär, T., Schwab, S., Schamm, T., Zöllner, J.M. (2014). Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the Loop. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8887. Springer, Cham. https://doi.org/10.1007/978-3-319-14249-4_72

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  • DOI: https://doi.org/10.1007/978-3-319-14249-4_72

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14248-7

  • Online ISBN: 978-3-319-14249-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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