Publication:
A localisation system for an indoor rotary-wing MAV using blade mounted LEDs

dc.contributor.author Mak, Lin Chi en_US
dc.contributor.author Whitty, Mark en_US
dc.contributor.author Furukawa, Tomonari en_US
dc.date.accessioned 2021-11-25T12:49:54Z
dc.date.available 2021-11-25T12:49:54Z
dc.date.issued 2008 en_US
dc.description.abstract Purpose – The purpose of this paper is to present a localisation system for an indoor rotary-wing micro aerial vehicle (MAV) that uses three onboard LEDs and base station mounted active vision unit. Design/methodology/approach – A pair of blade mounted cyan LEDs and a tail mounted red LED are used as on-board landmarks. A base station tracks the landmarks and estimates the pose of the MAV in real time by analysing images taken using an active vision unit. In each image, the ellipse formed by the cyan LEDs is used for 5 degree of freedom (DoF) pose estimation with yaw estimation from the red LED providing the 6th DoF. Findings – About 1-3.5 per cent localisation error of the MAV at various ranges, rolls and angular speeds less than 45°/s relative to the base station at known location indicates that the MAV can be accurately localised at 9-12?Hz in an indoor environment. Research limitations/implications – Line-of-sight between the base station and MAV is necessary while limited accuracy is evident in yaw estimation at long distances. Additional yaw sensors and dynamic zoom are among future work. Practical implications – Provided an unmanned ground vehicle (UGV) as the base station equipped with its own localisation sensor, the developed system encourages the use of autonomous indoor rotary-wing MAVs in various robotics applications, such as urban search and rescue. Originality/value – The most significant contribution of this paper is the innovative LED configuration allowing full 6 DoF pose estimation using three LEDs, one camera and no fixed infrastructure. The active vision unit enables a wide range of observable flight as the ellipse generated by the cyan LEDs is recognisable from almost any direction. en_US
dc.identifier.issn 0260-2288 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/38231
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other Robotics and Mechatronics. en_US
dc.subject.other Localisation. en_US
dc.subject.other Computers. en_US
dc.subject.other Light-emitting diodes. en_US
dc.subject.other Tracking. en_US
dc.title A localisation system for an indoor rotary-wing MAV using blade mounted LEDs en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.description.notePublic The journal of Sensor Review is published by Emerald Group Publishing Limited, http://www.emeraldinsight.com en_US
unsw.identifier.doiPublisher http://dx.doi.org/10.1108/02602280810856688 en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofissue 2 en_US
unsw.relation.ispartofjournal Sensor Review en_US
unsw.relation.ispartofpagefrompageto 125-131 en_US
unsw.relation.ispartofvolume 28 en_US
unsw.relation.originalPublicationAffiliation Mak, Lin Chi, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Whitty, Mark, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Furukawa, Tomonari, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.school School of Mechanical and Manufacturing Engineering *
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