Abstract
A method for finding road lanes using white lane markings is described. It is based on general techniques of object recognition. The lane markings are extracted as objects from the image using knowledge of their size, shape, and brightness. All possible lane boundaries that fit the markings based on the constraints of a road model are found. The correct set of lane boundaries is obtained by further application of the road model constraints. The technique is shown to be robust and can cope with markings that are intermittent, missing, or false.
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© 1992 Springer-Verlag New York, Inc.
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Schaaser, L.T., Thomas, B.T. (1992). Finding Road Lane Boundaries for Vision-guided Vehicle Navigation. In: Masaki, I. (eds) Vision-based Vehicle Guidance. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2778-6_11
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DOI: https://doi.org/10.1007/978-1-4612-2778-6_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7665-4
Online ISBN: 978-1-4612-2778-6
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