Dubins path planning of multiple UAVs for tracking contaminant cloud

Subchan Subchan, Brian A. White, Antonios Tsourdos, Madhavan Shanmugavel, R. Zbikowski

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

20 Citations (Scopus)

Abstract

This paper presents cooperative path planning approach for multi UAVs to detect, model and track the shape of a contaminant cloud boundary. The objective of this research study is to manage the resources (airborne sensors) such as to determine the boundary of a cloud and track its motion with minimum information. The dispersing model of the contaminant cloud boundary is based on SCIPUFF. The UAVs are assumed to just have a sensor package which can sense nuclear, biological and chemical (NBC) contaminants. Therefore as a UAVs fly through a contaminant cloud the NBC sensors will recognise the entry and exit points of the UAVs from the contaminant cloud boundary and give these two points as measurements. Based on the measurements the splinegon approach uses to predict the contaminant cloud boundary and produces a segment for the next UAVs path.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
Publication statusPublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

Keywords

  • Autonomous systems
  • Decision making and autonomy, sensor data fusion
  • Guidance, navigation and control of vehicles

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