[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2012.12.3.226

An Intelligent Auto Parking System for Vehicles

Razinkova, Anastasia (Department of Electrical and Electronics Engineering, KoreaTech)
Cho, Hyun-Chan (Department of Electrical and Electronics Engineering, KoreaTech)
Jeon, Hong-Tae (Department of Electrical and Electronics Engineering, Chung-Ang University)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.12, no.3, 2012 , pp. 226-231 More about this Journal

Abstract

Autoparking assistant systems are a new and very promising area in automotive systems engineering. Since the traffic in modern cities becomes more intense, it is getting harder for a driver. Those systems are necessary for an inexperienced one to find a proper parking slot, or to park in a narrow parking slot without damaging his car or the vehicles around. The implementation of autoparking assistant systems may reduce drivers' stress and make parking generally more comfortable. In addition, such system can be extremely useful for senior or disabled people or for drivers with reduced mobility. The implementation of autoparking assistant systems may increase the safety of the parking, and therefore the development of such systems is a highly-demanded task. We introduce an intelligent autoparking system that automatically generates trajectory for parking using a fuzzy logic. This paper consists of three parts. In first part we introduce trajectory generation method for parallel parking without collisions. Fuzzy-logic based trajectory generation algorithm is described in second part. Experimental results presented in the third part of the paper prove effectiveness of the proposed method.

Keywords

Autoparking assistance system; fuzzy logic; intelligent systems;

Citations & Related Records

Reference

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