A morphological approach to shortest path planning for rotating objects

Soo Chang Pei, Chin Lun Lai, Frank Y. Shih

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This paper presents a mathematical morphology based approach to find the shortest path of an arbitrarily shaped moving object with rotations amid obstacles of arbitrary shapes. By utilizing the proposed rotational morphology along with the continuous turning-angle constraint, the representation framework of the motion planning problem becomes simple and practical. Two vehicle models with different driving and turning systems are used in solving the path planning problem and their strategies are presented. Simulation results show that our algorithm works successfully in various conditions.

Original languageEnglish (US)
Pages (from-to)1127-1138
Number of pages12
JournalPattern Recognition
Volume31
Issue number8
DOIs
StatePublished - Aug 1 1998

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Keywords

  • Continuous turning angle
  • Distance transformation
  • Mathematical morphology
  • Motion planning
  • Rotational morphology

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