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This paper presents a novel method of car detection by using the Adaboost algorithm, which is enhanced by the quadratic programming for feature extraction. In this paper, car is divided into many relevant features through their appearances in training samples such as wheel and window. We crop features of object in training images and utilize them for the Adaboost training. The results of the Adaboost...
Deploying mining technique is one of very important contents during the study of car tracking. Whereas, in order to actualize the fuzzy tracker, the control rule database should be established by operators. With the NN-FR mining technique and the learning function of neural network, the rule can be directly established according to the input and output data on the spot, while the subject degree function...
The cooperation system operated with the human and the computer is important. In this paper, the fuzzy target knowledge that decides the auxiliary target to reach the final goal by the reinforced learning is acquired. An intelligent cooperated control system that decides the control instruction based on this fuzzy target and the driving knowledge is proposed. The human easily understands the response...
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