Night Time and Low Visibility Driving Assistance Based on the Application of Colour and Geometrical Features Extraction

  • Henry CruzEmail author
  • Juan Meneses
  • Martina Eckert
  • José F. Martínez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9704)


The present work shows an application to detect cars in night environments as a means to assist the car driving through HSV (Hue, Saturation, Value) colour extraction and geometric modelling. The developed algorithm has been implemented in smart devices through the platform Android. The detection and tracking of vehicles are implemented in low visibility environments such as night time, raining or snowing conditions; the different tests carried out confirm high performance rates of detection (p = 95.2 %). The information provided by the different sensors of the smart devices have been used to generate virtual information in a real driving environment (Augmented Reality) in order to complement the functionalities of the purposed solution. This information consists of visual, vibratory and auditory warnings that detect possible collisions and dangerous driving situations.


Color extraction Geometrical features Smart devices Augmented reality Assisted driving 



This work was supported by Spanish National Plan for Scientific Technical Research and Innovation, project number TEC2013-48453-C2-2-R.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Henry Cruz
    • 1
    Email author
  • Juan Meneses
    • 1
  • Martina Eckert
    • 1
  • José F. Martínez
    • 1
  1. 1.Research Center on Software Technologies and Multimedia Systems for SustainabilityTechnical University of MadridMadridSpain

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