1University of Valladolid, Departament of Teory Signal, Comunications and Telematic Engineering, E.T.S.I. Telecomunications, Campus Miguel Delibes, 47011, Valladolid.
2University of Valladolid, Departament of of Agricultural and Forestry Engineering, ETSI Agrarias, Avda. Madrid 44, 34004, Palencia.
*E-mail: jgomez@tel.uva.es
null
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. Apart from the real test, an application has been made to process videos, and to detect worked and unworked zones. The results in different terrains are showed.