Practical motion planning for car-parking control in narrow environment

D. Kim, W. Chung, S. Park

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

The automatic parking assist system is one of the key components in future automobiles. Path planning of a car-like robot is difficult because of non-holonomic constraints. In this study, the authors propose a practical path planning algorithm for the car-parking control problem. Reachable regions from a goal can be easily computed using the proposed scheme. A variety of candidate paths can be generated by using conventional back-propagation scheme. Finally, we can obtain optimal solutions with respect to performance measures such as collision safety, moving distance, control efforts and so forth. The presented simulation results clearly show that the proposed scheme provides useful solutions.

Original languageEnglish
Pages (from-to)129-139
Number of pages11
JournalIET Control Theory and Applications
Volume4
Issue number1
DOIs
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Practical motion planning for car-parking control in narrow environment'. Together they form a unique fingerprint.

Cite this