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Object localisation through clustering unreliable ultrasonic range sensors
journal contribution
posted on 2018-01-01, 00:00 authored by Lei PanLei Pan, Xi Zheng, Philip Kolar, Shaun BangayShaun BangayThe increasing popularity and availability of inexpensive ultrasonic sensors facilitates opportunities for tracking moving objects by using a cluster of these sensors. In this paper, we use a cluster of ultrasonic sensors connected to Raspberry Pis. Field tests indicate that the accuracy and reliability of individual sensors depends on the relative position of the tracked object. Hence, we employ data fusion and synchronisation techniques for trilateration to improve accuracy using a cluster of sensor nodes. We successfully conduct multiple runs tracking a moving object and report these field test results in this paper. Our average error is in the order of tens of centimetres, and some of our best results match published results for larger clusters.
History
Journal
International journal of sensor networksVolume
27Issue
4Pagination
268 - 280Publisher
Inderscience PublishersLocation
Olney, Eng.Publisher DOI
ISSN
1748-1279eISSN
1748-1287Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2018, Inderscience PublishersUsage metrics
Categories
Keywords
ultrasonic sensorstrackingclustermoving objectScience & TechnologyTechnologyComputer Science, Information SystemsTelecommunicationsComputer Scienceultrasonic sensorsensor networkobject trackingtrilaterationdata fusionInformation SystemsArtificial Intelligence and Image ProcessingDistributed Computing
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