Visual Lane Model Based on Road Characteristic Information
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Abstract
A novel visual lane model (VLM), which can be used to describe the road characteristic information in driver's perception, is proposed to evaluate road design and analyze the mechanism of driving behavior. The VLM is constructed based on Catmull-Rom spline. Then a VLM software which can conduct road visual image fitting automatically is developed on Auto CAD platform. Experimental results show that the proposed model can fit road alignment with arbitrary shape, and collect related road characteristic information.
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