Real-time generation of waypoints enhancing UAV survivability

Sanghyuk Park, Kuk Kwon Park, Sang Sup Park, Chang Kyung Ryoo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper suggests the path planning algorithm with optimized waypoints, which maximizes the survivability of a UAV from the hostile environment. The algorithm optimizes the waypoints with several steps. First, initial waypoints and path in this algorithm are obtained by Voronoi diagram and Dijkstra algorithm, and then each waypoint is optimized by repeating local optimization. The concept of optimization is that only one waypoint is optimized under the assumption that nearby waypoints are fixed and repeats this procedure for whole waypoints. In this method, the waypoints are obtained in the sense of maximizing survivability in real-time. A simulation is performed to illustrate this algorithm.

Original languageEnglish
Title of host publication30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)9783932182853
StatePublished - 2016
Event30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016 - Daejeon, Korea, Republic of
Duration: 25 Sep 201630 Sep 2016

Publication series

Name30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016

Conference

Conference30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016
Country/TerritoryKorea, Republic of
CityDaejeon
Period25/09/1630/09/16

Keywords

  • Path planning
  • Survivability
  • Voronoi diagram
  • VVCO

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