Adaptative Road Lanes Detection and Classification

  • Juan M. Collado
  • Cristina Hilario
  • Arturo de la Escalera
  • Jose M. Armingol
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)


This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane boundaries. The algorithm uses an edge filter to extract the longitudinal road markings to which a straight lane model is fitted. Next, the type of right and left lane boundaries (continuous, broken or merge line) is identified using a Fourier analysis. Adjacent lanes are searched when broken or merge lines are detected. Although the knowledge of the line type is essential for a robust DAS, it has been seldom considered in previous works. This knowledge helps to guide the search for other lanes, and it is the basis to identify the type of road (one-way, two-way or freeway), as well as to tell the difference between allowed and forbidden maneuvers, such as crossing a continuous line.


Pitch Angle Driver Assistance System Hough Transform Road Type Vehicle Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Juan M. Collado
    • 1
  • Cristina Hilario
    • 1
  • Arturo de la Escalera
    • 1
  • Jose M. Armingol
    • 1
  1. 1.Intelligent Systems LabUniversidad Carlos III de MadridSpain

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