Flight demonstration of realtime path planning of an UAV using evolutionary computation and rule-based hybrid method

Shin-Ichiro Higashino, Yohei Maruyama

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A method for path planning of an UAV while avoiding obstacles using Evolutionary Computation and rule-based hybrid method is proposed, and its effectiveness is demonstrated successfully by flights using a small UAV. Evolutionary Computation is used for the optimization of the traveling order of the waypoints which are specified for a certain mission, and for the optimization of the number and positions of the additional waypoints inserted in order to avoid obstacles. The additional waypoints are inserted following the predetermined rule so that the efficiency of the obstacle avoidance improves.

Original languageEnglish
Pages (from-to)156-162
Number of pages7
JournalInternational Journal on Engineering Applications
Volume6
Issue number5
DOIs
Publication statusPublished - Sep 1 2018

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Unmanned aerial vehicles (UAV)
Motion planning
Evolutionary algorithms
Demonstrations
Collision avoidance

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications

Cite this

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