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Detection of Vehicles and Pedestrians

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Algorithm & SoC Design for Automotive Vision Systems

Abstract

Vehicle and pedestrian detection has gained the attention of researchers in the past decade because of the increasing number of on road vehicles and traffic accidents. Vehicle and pedestrian detection system is of utmost importance since it can be used to take instantaneous and calculated decisions where human failure might occur resulting in reduction of road mishaps. But designing a detection system which is robust to various shapes of vehicles, different human postures/clothing, and weather/environment conditions is a challenging problem. In the following sections, the state of the art methods in vehicle and pedestrian detection are discussed.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Hanyang University ERICA Campus, Ansan, South Korea

    Hyunchul Shin & Irfan Riaz

Authors
  1. Hyunchul Shin
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  2. Irfan Riaz
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Correspondence to Hyunchul Shin .

Editor information

Editors and Affiliations

  1. Yonsei University, Seoul, Korea, Republic of (South Korea)

    Jaeseok Kim

  2. Hanyang University, Ansan, Korea, Republic of (South Korea)

    Hyunchul Shin

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© 2014 Springer Science+Business Media Dordrecht

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Shin, H., Riaz, I. (2014). Detection of Vehicles and Pedestrians. In: Kim, J., Shin, H. (eds) Algorithm & SoC Design for Automotive Vision Systems. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9075-8_5

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  • DOI: https://doi.org/10.1007/978-94-017-9075-8_5

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9074-1

  • Online ISBN: 978-94-017-9075-8

  • eBook Packages: EngineeringEngineering (R0)

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