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Another look at 3D road surface modelling
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AI
DOI：10.1080/00423114.2025.2525240.png)
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A new algorithm is presented that constructs three-dimensional track surface models from a mesh of measured data. The track surface models described here are parametrised 3D surfaces described in curvilinear coordinates. It is not assumed that the track can be represent by a ribbon thereby enforcing lateral flatness. The underlying model is a parametrised Monge patch, with the parametric variables found by solving an optimal control problem; Euler angles play no part. The algorithm provides all the information required to conduct vehicle dynamics studies on curved surfaces – thefirstandsecondfundamental forms. The algorithm was tested on measured Lidar data for the Darlington and Charlotte speedways and was found to be fast to compute, accurate and reliable.
Keyword:
Road modelling
differential geometry
optimal control
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被引数:
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