International Journal of Fuzzy Logic and Intelligent Systems

  • 제9권4호
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  • Pages.275-280
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  • 2009
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Design of Genetic Algorithm-based Parking System for an Autonomous Vehicle

  • Xiong, Xing (School of Electronic Engineering, Daegu University) ;
  • Choi, Byung-Jae (School of Electronic Engineering, Daegu University)
  • 투고 : 2009.11.06
  • 심사 : 2009.12.01
  • 발행 : 2009.12.25
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초록

A Genetic Algorithm (GA) is a kind of search techniques used to find exact or approximate solutions to optimization and searching problems. This paper discusses the design of a genetic algorithm-based intelligent parking system. This is a search strategy based on the model of evolution to solve the problem of parking systems. A genetic algorithm for an optimal solution is used to find a series of optimal angles of the moving vehicle at a parking space autonomously. This algorithm makes the planning simpler and the movement more effective. At last we present some simulation results.

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참고문헌

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피인용 문헌

  1. Autonomous Parking of Car-Like Mobile Robot Using Docking Formation vol.51, pp.10, 2014, https://doi.org/10.5573/ieie.2014.51.10.180