Towards Autonomous Air-To-Air Refuelling for UAVs Using Visual Information

Tom S Richardson, Carol Martinez, Pascual Campoy

Research output: Contribution to conferenceConference Paper

11 Citations (Scopus)

Abstract

For the purposes of achieving Autonomous Air-to-Air Refuelling in UAVs, this paper presents the use of a visual tracking algorithm based on direct methods and image registration techniques, with the aim of solving the drogue tracking problem in order to obtain vision-based relative position estimations of the aircrafts for the probe and drogue refuelling method. Proposed vision-based AAAR approaches to date have explored the use of features (such as painted marks, or LEDs) to detect and estimate the relative motion of either the receiver or the tanker aircraft, with the drawback that sometimes this requires the installation of specific hardware on-board. Conversely, the strategy we propose to use does not require the installation of additional hardware on-board. The strategy is based on a hierarchical implementation of an image registration technique: the Inverse Compositional Image Alignment. Real images and real flight hardware (probe and drogue) are used to test the algorithm using a robotic testbed that simulates the motion of the aircrafts during the refuelling task. Results show that the tracking algorithm is robust to fast motion, changes in appearance, and situations where part of the drogue is occluded or is outside of the field of view of the camera. Additionally, results show that robust position estimations at real-time frame rates are obtained, proving that the technique is fast enough to form the basis for automated aerial refuelling sensing capabilities.
Original languageEnglish
Publication statusPublished - 9 May 2013
EventInternational Conference on Robotics and Automation - Karlsruhe, United Kingdom
Duration: 6 May 201310 May 2013

Conference

ConferenceInternational Conference on Robotics and Automation
CountryUnited Kingdom
CityKarlsruhe
Period6/05/1310/05/13

Fingerprint Dive into the research topics of 'Towards Autonomous Air-To-Air Refuelling for UAVs Using Visual Information'. Together they form a unique fingerprint.

  • Cite this

    Richardson, T. S., Martinez, C., & Campoy, P. (2013). Towards Autonomous Air-To-Air Refuelling for UAVs Using Visual Information. Paper presented at International Conference on Robotics and Automation, Karlsruhe, United Kingdom.