Computation of Vehicle Trajectories Using a Neural Network | Zendy

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Computation of Vehicle Trajectories Using a Neural Network

Author(s) -

Xu Zhang

Publication year - 1993

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.7.49

Subject(s) - smoothness , artificial neural network , computer science , computation , trajectory , artificial intelligence , computer vision , deep neural networks , algorithm , mathematics , physics , astronomy , mathematical analysis

In this paper, a method will be described to calculate vehicle trajectories using a neural network for TV imagery of vehicular traffic. Constraints on the smoothness both in time and space are successfully combined in a unified form. Other constraints, for example geometrical structures of corners, can readily be included. The neural network handles inconsistent corner data in a robust manner, and the resulting trajectory plots are, visually at least, near-optimal.

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