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Vision-Based Driver-Assistance Systems

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Computer Vision for Driver Assistance

Part of the book series: Computational Imaging and Vision ((CIVI,volume 45))

Abstract

This chapter outlines the general context of the book. Autonomous driving is still at a stage where drivers are expected to be in control of the vehicle at all times, but provided automated control features of the vehicle (based on input data generated by different sensors) already enhance safety and driver comfort. We especially consider automated control features possible by using camera data.

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Notes

  1. 1.

    For an example, see www.n3t.kiwi for the N3T testbed near Whangarei, New Zealand.

  2. 2.

    In this book any processing speed of more than 15 frames per second (fps) is considered real-time, as it enables us to provide timely information to assist a driver, even in high-speed driving scenarios.

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Authors and Affiliations

  1. Department of Computer Engineering, Qazvin Islamic Azad University, Qazvin, Iran

    Mahdi Rezaei

  2. Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand

    Reinhard Klette

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  1. Mahdi Rezaei
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Rezaei, M., Klette, R. (2017). Vision-Based Driver-Assistance Systems. In: Computer Vision for Driver Assistance. Computational Imaging and Vision, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-50551-0_1

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