UAV autopilot path planning for terrain avoidanceusing theta-star algorithmon modified virtual map

Chin E. Lin, Chun Ying Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A flight path planning system for an unmanned aerial vehicle (UAV) is built and verified using theta-star algorithm. Considering of the terrain feature on a modified virtual map, safety requirement, GPS positioning error and UAV performance, the proposed path planning algorithm determines a flight path and guarantees the safe flight with a minimum cost constraint. By integrating GPS and X-Bee communication modem into an open source autopilot system, a UAV system performsreliable flight trackto satisfy with the flight path planning command from the ground control station.

Original languageEnglish
Pages (from-to)67-77
Number of pages11
JournalJournal of Aeronautics, Astronautics and Aviation
Volume46
Issue number1
DOIs
Publication statusPublished - 2014 Mar

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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