Chengdu University of Information Technology (CMA. Key Laboratory of Atmospheric Sounding), Chengdu, China

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Abstract—in the previous work, the authors proposed an efficient method to abstract human skill based on HHARX model, and successfully applied the obtained human skill models in an automatic driving system of a radio-controlled vehicle based on PC. This paper proposes a method to reconstruct the driving system based on embedded microcontroller OMAP3530. In the system, Omap3530 realize all the control functions except for model identification, such as real time image collection and processing, obstacle position detection, automatic driving environmental parameters computing, driving control commands computing using human driving skill models, radio-controlled vehicle real time driving control, and so on. The obtained driving system can drive the small radiocontrolled vehicle automatically without PC according the human driving skill models, the flexibility and area of application of human skill models can be improved efficiently.

Index Terms—human skill model, automatic driving system, real time image collection, real time image processing, radio-controlled vehicle, embedded microcontroller

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Cite: Shangchang Ma, Bifeng Yang, Yanjun Zhan, Sujuan Zhang, and Chao Wang, "Automatic Driving System Based on Embedded Microcontroller Using Human Skill Models," Journal of Computers vol. 6, no. 2, pp. 351-358, 2011.