Neural Network Based Microcontroller Operated Intelligent Vehicle System
نویسندگان
چکیده
Today a fast real-time and robust automatic vehicle system is required to increase driving safety as the manned driving is getting extremely numbered, so are those of traffic jams, bad, dangerous and rough drivers and more importantly, accidents. Automatic recognition of traffic signs is also important for automated intelligent driving vehicle or driver assistance systems. This paper presents a new technique for object recognition and control the vehicle thereby. A combination of image processing and artificial neural network has been used for extraction and recognition of the boundaries in captured noisy images. A car is chosen to move towards some defined directions. Direction of the car in a certain moment is a subject of sensing. This sensing is fed to the car to implement image processing techniques and some matching principles by means of artificial neural network. The microcontroller operating the car receives the data via serial port and drives it by analyzing the data. Experimental results demonstrating the performance of the proposed technique are also presented. Performance analysis shows that the applied technique is able to execute well on a low performance CPU without requiring significant additional CPU resources. Keywords— Intelligent vehicle, Automatic control, Image processing, Artificial neural network, Microcontroller
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