Abstract
Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in realtime. Examples of real images are shown to validate the algorithm.
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Hilario, C., Collado, J.M., Armingol, J.M., de la Escalera, A. (2005). Multi-resolution Image Analysis for Vehicle Detection. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_70
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DOI: https://doi.org/10.1007/11492429_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
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