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Perspective Multiscale Detection of Vehicles for Real-Time Forward Collision Avoidance Systems

  • Juan Diego Ortega
  • Marcos Nieto
  • Andoni Cortes
  • Julian Florez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8192)

Abstract

This paper presents a single camera vehicle detection technique for forward collision warning systems suitable to be integrated in embedded platforms. It combines the robustness of detectors based on classification methods with an innovative perspective multi-scale procedure to scan the images that dramatically reduces the computational cost associated with robust detectors. In our experiments we compare different implementation classifiers in search for a trade-off between the real-time constraint of embedded platforms and the high detection rates required by safety applications.

Keywords

Intelligent Transportation Systems Object Detection Machine Learning Pattern Recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Juan Diego Ortega
    • 1
  • Marcos Nieto
    • 1
  • Andoni Cortes
    • 1
  • Julian Florez
    • 2
  1. 1.Vicomtech-IK4San SebastianSpain
  2. 2.Tecnun, University of NavarraSan SebastianSpain

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