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It is of great significance how to identify car licence rapidly and accurately in the modern urban traffic management system. Hopfield NN is a feedback network with association function. It can figure out the weight of network according to some rules and update every nerve cell's state constantly in curse of the network evolvement. This paper presents a method identifying noise of vehicle license...
Due to factors of affecting vehicle recognition is many and complex, the affecting degree of every factor is different, and the borderline is fuzzy, so it is difficult to estimate together using traditional mathematics model. The support vector machine (SVM) is a new machine study method. In this paper, a vehicle recognition model based on Least Squares Support Vector Machine is presented. In the...
With the increase of vehicles, the work load and the difficulties of the traffic management and road tolling become harder and harder, and day by day, so the automatic recognition of automobile type has very important real value in the traffic management system and road auto-tolling system. An approach is presented to detect and classify the moving vehicle in static scenes, which is based on GVF-Snake...
The estimation of a vehiclepsilas dynamic state is one of the most fundamental data fusion tasks for intelligent traffic applications. For that, motion models are applied in order to increase the accuracy and robustness of the estimation. This paper surveys numerous (especially curvilinear) models and compares their performance using a tracking tasks which includes the fusion of GPS and odometry data...
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