Automatic Guidance of a Tractor Using Computer Vision

  • Pedro Moreno Matías
  • Jaime Gómez Gil
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)

Abstract

This paper presents a computer vision guidance system for agricultural vehicles. This system is based on a segmentation algorithm that uses an optimum threshold function in terms of minimum quadratic value over a discriminant based on the Fisher lineal discriminant. This system has achieved not only very interesting results in the sense of segmentation, but it has also guided successfully a vehicle in a real world environment.

Keywords

Segmentation Algorithm Artificial Vision Front Wheel Real World Environment Border Point 
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 2007

Authors and Affiliations

  • Pedro Moreno Matías
    • 1
  • Jaime Gómez Gil
    • 1
  1. 1.University of Valladolid, Departament of Teory Signal, Comunications and Telematic Engineering, de Teoría de la Señal, Comunicaciones e Ingeniería Telemática, Campus Miguel Delibes, 47011, Valladolid 

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