Exploiting physical contacts for robustness improvement of a dot-painting mission by a micro air vehicle

Thomas Chaffre, Kevin Tudal, Sylvain Bertrand, Lionel Prevost

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this paper we address the problem of dot painting on a wall by a quadrotor Micro Air Vehicle (MAV), using on-board low cost sensors (monocular camera and IMU) for localization. A method is proposed to cope with uncertainties on the initial positioning of the MAV with respect to the wall and to deal with walls composed of multiple segments. This method is based on an online estimation algorithm that makes use of information of physical contacts detected by the drone during the flight to improve the positioning accuracy of the painted dots. Simulation results are presented to assess quantitatively the efficiency of the proposed approaches.
Original languageEnglish
Title of host publicationICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
EditorsOleg Gusikhin, Kurosh Madani, Janan Zaytoon
Place of PublicationSetúbal, Portugal
PublisherSciTePress
Pages51-60
Number of pages10
Volume1
ISBN (Electronic)9789897583803
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019 - Prague, Czech Republic
Duration: 29 Jul 201931 Jul 2019

Publication series

NameICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
Volume1
ISSN (Electronic)2184-2809

Conference

Conference16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019
Country/TerritoryCzech Republic
CityPrague
Period29/07/1931/07/19

Keywords

  • Aerial robotics
  • Contact based navigation
  • Dot-painting

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