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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Moreno Matías, P., Gómez Gil, J. (2007). Automatic Guidance of a Tractor Using Computer Vision. In: Ghosh, A., De, R.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2007. Lecture Notes in Computer Science, vol 4815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77046-6_21
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DOI: https://doi.org/10.1007/978-3-540-77046-6_21
Publisher Name: Springer, Berlin, Heidelberg
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