Abstract
In this paper a new approach to the problem of recognizing the preceding vehicle on highways is presented. The system is based on monocular vision. Since on highways the position of the preceding vehicle in the image varies slowly, its previous and current positions are compared using correlation. Such image processing produces a very clear output, which, at a higher level, allows a simple and fast recognition.
The work described in this paper has been developed in the framework of the Integrated Project APALACI – PReVENT, a European research activity funded by the European Commission to contribute to road safety by developing and demonstrating preventive safety applications and technologies.
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Broggi, A., Cerri, P., Ghidoni, S. (2005). A Correlation-Based Approach to Recognition and Localization of the Preceding Vehicle in Highway Environments. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_143
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DOI: https://doi.org/10.1007/11553595_143
Publisher Name: Springer, Berlin, Heidelberg
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