Development Of Smart Car Control System Based On Image Sensor

As a carrier of many high-tech integrated, smart car plays an important role in intelligent transportation system. The smart car system uses the Freescalel6 bit microprocessor as a core control chip. The micro-controller obtains lane image information based on a digital image sensor then adjusts the model car's moving position and direction. The system uses the closed-loop control so that the smart car is able to track in safety and drive quickly on the road.The main thesis is as follows:First of all, for the control system it has to transform the mechanical structure. With the theory of modern vehicles, front wheel alignment parameters, gear transmission and rear differentials have been adjusted through experiments. Installation and calibration of the image sensor have been discussed too. According to analyze the impact of steering gear for the smart car system, we designed reasonable and reliable manner of the installation.Secondly, the hardware circuits of smart car system are designed. Respectively, the core control module, power management module, image acquisition module, motor driver module, gear-driven module, and speed test module are carefully designed to ensure that the smart car has a good and stable hardware support.Finally, in software design of the smart car system, the process of image acquisition is described. Image processing and identify algorithm have been analyzed. According to this analysis, direction control strategy and speed control strategy are researched. Comparing with the traditional PID controller, an immune adaptive PID controller by drawing on the regulation of immune feedback mechanism is designed in order to improve the tracking quality for smart car to track the target under a high speed.