Abstract
We describe an algorithm by which an autonomous land vehicle is able to navigate along roads utilising lane boundary markings. This is achieved by defining a six-parameter model of the lane markings and fitting this to the processed monochrome image using non-linear least squares techniques. By qualitative as well as quantitative analysis over many hundreds of images the model used is shown to be justified, resulting in a very robust method, finding lane markings to sub-pixel accuracy.
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© 1992 Springer-Verlag London Limited
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Campbell, N.W., Thomas, B.T. (1992). Lane Boundary Tracking for an Autonomous Road Vehicle. In: Hogg, D., Boyle, R. (eds) BMVC92. Springer, London. https://doi.org/10.1007/978-1-4471-3201-1_17
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DOI: https://doi.org/10.1007/978-1-4471-3201-1_17
Publisher Name: Springer, London
Print ISBN: 978-3-540-19777-5
Online ISBN: 978-1-4471-3201-1
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