Performance analysis of path planners for car-like vehicles toward automatic parking control

Hyunki Kwon, Woo Jin Chung

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A car parking control problem is difficult because of its non-holonomic constraints and complicated environmental geometry. We proposed Korea University Path Planner (KPP) in our prior work. KPP is an appropriate scheme for a car-like mobile robot in a parking environment. The purpose of this paper is to investigate the advantages of KPP through both quantitative and qualitative analyses. For comparison, numerical simulations have been carried out by the application of KPP and the conventional Rapidly exploring random tree method. This paper shows that KPP exhibits outstanding performance from the viewpoints of travel time and computational time.

Original languageEnglish
Pages (from-to)15-23
Number of pages9
JournalIntelligent Service Robotics
Volume7
Issue number1
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Parking
Railroad cars
Travel time
Mobile robots
Geometry
Computer simulation

Keywords

  • Car-like mobile robot
  • KPP
  • Non-holonomic planning
  • Path planning
  • RRT

ASJC Scopus subject areas

  • Mechanical Engineering
  • Engineering (miscellaneous)
  • Artificial Intelligence
  • Computational Mechanics

Cite this

Performance analysis of path planners for car-like vehicles toward automatic parking control. / Kwon, Hyunki; Chung, Woo Jin.

In: Intelligent Service Robotics, Vol. 7, No. 1, 01.01.2014, p. 15-23.

Research output: Contribution to journalArticle

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