Hybrid intelligent vision-based car-like vehicle backing systems design

Authors:
Chih-Yung Chen;Hsuan-Ming Feng
Affiliations:
Department of Computer and Communication, Shu-Te University, No. 59, Hengshan Road, Yanchao, Kaohsiung County 82445, Taiwan;Department of Computer Science and Information Engineering, National Kinmen Institute of Technology, No. 1 University Road, Kin-Ning Vallage Kinmen 892, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

This paper is integrated with discrete wavelet transformation (DWT), self-organizing map (SOM) neural network and fuzzy logic control methods to approach the intelligent vision-based car-like vehicle backing system. All the presented procedures are implemented as software simulations and are synthesized as hardware to describe their superiorities in our experimental platform. In a word, this study has been implemented as a car-like vehicle consists of a field programmable gate array (FPGA) chip, a CMOS image sensor, a microprocessor, a flash memory module, and servo motors. From our experimental results, this paper not only illustrates the results with computer simulation, but also demonstrates the practical car parking achievements in a real environment.