End-to-end Lane Detection through Differentiable Least-Squares Fitting

1 Feb 2019Wouter Van GansbekeBert De BrabandereDavy NevenMarc ProesmansLuc Van Gool

Lane detection is typically tackled with a two-step pipeline in which a segmentation mask of the lane markings is predicted first, and a lane line model (like a parabola or spline) is fitted to the post-processed mask next. The problem with such a two-step approach is that the parameters of the network are not optimized for the true task of interest (estimating the lane curvature parameters) but for a proxy task (segmenting the lane markings), resulting in sub-optimal performance... (read more)

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