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Digital Signal Processing for In-Vehicle Systems and Safety pp 217–227Cite as

Computer Vision Systems for “Context-Aware” Active Vehicle Safety and Driver Assistance

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Abstract

Recent developments of information technology and mobile lifestyle have forced drivers to multitask while they drive. The in-vehicle “infotainment” technology is already taking its place in the transformation of vehicles towards more intelligent and interactive devices rather than staying as mere transportation convenience. This transformation has several advantages such as easy route navigation, real-time traffic information, and staying connected with work or people while traveling. However, it has several drawbacks concerning the impact on driver cognitive load and attention sources. Therefore, it is crucial to take advantage of state-of-the-art in-vehicle technology to produce counter-measure systems that monitor the driver status and reduce driver workload adaptively depending on the context. In recognition and analysis of the driving context together with driver status monitoring, computer vision applications supply crucial information both in the vehicle (i.e., driver head and eye tracking) and out of the vehicle (i.e., lane, pedestrian, and vehicle detection and tracking, and road sign recognition). In this chapter, we provide a broad range of computer vision applications for CA-IVS from the literature and our previous studies, and we report our current research efforts.

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Notes

  1. 1.

    *Pinar Boyraz was with the University of Texas at Dallas, CRSS UTDrive modeling group when this work was done. She has since joined Istanbul Technical University, Turkey.

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Author information

Authors and Affiliations

  1. Mechatronics Education and Research Center (MERC), Department of Mechanical Engineering, Istanbul Technical University, Inonu Cd. No.65, Gumussuyu, Istanbul, 34437, Turkey

    Pinar Boyraz

  2. Center for Robust Speech Systems (CRSS), Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX, 75080-3021, USA

    Pinar Boyraz, Xuebo Yang & John H. L. Hansen

Authors
  1. Pinar Boyraz
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  2. Xuebo Yang
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  3. John H. L. Hansen
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Corresponding author

Correspondence to Pinar Boyraz .

Editor information

Editors and Affiliations

  1. , Electrical Engineering, The University of Texas at Dallas, W Campbell Rd 800, Richardson, 75080, USA

    John H.L. Hansen

  2. , ITU Mechanical Engineering, İTÜ Makina Fakültesi, İnönü Caddesi 65, Istanbul, 34437, Turkey

    Pinar Boyraz

  3. Nagoya University, Nagoya, 464-8603, Japan

    Kazuya Takeda

  4. Cummins Place 9985, San Diego, 92131, USA

    Hüseyin Abut

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© 2012 Springer Science+Business Media, LLC

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Boyraz, P., Yang, X., Hansen, J.H.L. (2012). Computer Vision Systems for “Context-Aware” Active Vehicle Safety and Driver Assistance. In: Hansen, J., Boyraz, P., Takeda, K., Abut, H. (eds) Digital Signal Processing for In-Vehicle Systems and Safety. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9607-7_15

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  • DOI: https://doi.org/10.1007/978-1-4419-9607-7_15

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-9606-0

  • Online ISBN: 978-1-4419-9607-7

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