Abstract
This paper presents an innovative road modeling strategy for video-based driver assistance systems. It is based on the real-time estimation of the vanishing point of sequences captured with forward looking cameras located near the rear view mirror of a vehicle. The vanishing point is used for many purposes in video-based driver assistance systems, such as computing linear models of the road, extraction of calibration parameters of the camera, stabilization of sequences, etc. In this work, a novel strategy for vanishing point estimation is presented. It is based on the use of an adaptive steerable filter bank which enhances lane markings according to their expected orientations. Very accurate results are obtained in the computation of the vanishing point for several type of sequences, including overtaking traffic, changing illumination conditions, paintings in the road, etc.
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Nieto, M., Salgado, L. (2007). Real-Time Vanishing Point Estimation in Road Sequences Using Adaptive Steerable Filter Banks. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_76
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DOI: https://doi.org/10.1007/978-3-540-74607-2_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74606-5
Online ISBN: 978-3-540-74607-2
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