본문 바로가기
KERD
논문KCI 등재

다차원 경로격자지도를 이용한 주차 경로계획 알고리즘

Path Planning for Parking using Multi-dimensional Path Grid Map

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Recent studies on automatic parking have actively adopted the technology developed for mobile robots. Among them, the path planning scheme plans a route for a vehicle to reach a target parking position while satisfying the kinematic constraints of the vehicle. However, previous methods require a large amount of computation and/or cannot be easily applied to different environmental conditions. Therefore, there is a need for a path planning scheme that is fast, efficient, and versatile. In this study, we use a multi-dimensional path grid map to solve the above problem. This multi-dimensional path grid map contains a route which has taken a vehicle's kinematic constraints into account; it can be used with the A* algorithm to plan an efficient path. The proposed method was verified using Prescan which is a simulation program based on MATLAB. It is shown that the proposed scheme can successfully be applied to both parallel and vertical parking in an efficient manner.

Abstract

Recent studies on automatic parking have actively adopted the technology developed for mobile robots. Among them, the path planning scheme plans a route for a vehicle to reach a target parking position while satisfying the kinematic constraints of the vehicle. However, previous methods require a large amount of computation and/or cannot be easily applied to different environmental conditions. Therefore, there is a need for a path planning scheme that is fast, efficient, and versatile. In this study, we use a multi-dimensional path grid map to solve the above problem. This multi-dimensional path grid map contains a route which has taken a vehicle's kinematic constraints into account; it can be used with the A* algorithm to plan an efficient path. The proposed method was verified using Prescan which is a simulation program based on MATLAB. It is shown that the proposed scheme can successfully be applied to both parallel and vertical parking in an efficient manner.

참고문헌 (8)

  1. 조영근, "가우시안 혼합모델 기반 3차원 차량 모델을 이용한 복잡한 도시환경에서의 정확한 주차 차량 검출 방법", 로봇학회 논문지, 10(1), pp.33~41 (2015), 한국로봇학회[DOI]
  2. 박순용, "교통 표지판의 3차원 추적 경로를 이용한 자동차의 주행 차로 추정", 로봇학회 논문지, 11(3), pp.172~182 (2016), 한국로봇학회[DOI]
  3. R. Pepy, "Path planning using a dynamic vehicle model", Proc. 2nd ICTTA, pp.781~786 (2006)
  4. D. Dolgov, "Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments", The International Journal of Robotics Research, 29(5), pp.485~501 (2010)
  5. P. Hart, "A Formal Basis for the Heuristic Determination of Minimum Cost Paths", IEEE Trans. Syst. Sci. Cybern, 4(2), pp.100~107 (1968)
  6. R.N. Jazar, "Vehicle Dynamics: Theory and Application" (2009), Springer
  7. P.I. Corke, "Robotics, Vision & Control: Fundamental Algorithms in MATLAB" (2011), Springer
  8. S. Thrun, "Probabilistic Robotics" (2005), The MIT Press

관련 논문AI추천

이 간행물의 다른 논문 (13건)