WildBridge:Conservation Software for Animal Localisation using Commercial Drones

This paper assesses the usability and accuracy of a commercially off-the-shelf (COTS) platform for precise terrestrial animal localization. To achieve localization, this paper uses a single-shot coordinate transform method. The platform selected in this work is the DJI Mavic 3E quad-copter, since it is a popular and widely adopted platform, in particular among the wildlife conservation community. To enable the use of the DJI Mavic 3E, a software interface was developed to access telemetry and camera feed in realtime. The method was tested during two field campaigns in Kenya and Wales. These field campaigns permitted the discovery of localization error sources and their possible mitigation, in particular through adequate mission planning. The preliminary maximum localization error was computed to be 19.2m laterally and 14.4m longitudinally for an animal positioned 385m from the UAV flying at 120m above groun

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Publication Details

Journal
Bristol Research (University of Bristol)
Published
2024-09-20
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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WildBridge:Conservation Software for Animal Localisation using Commercial Drones

Tom G. Richardson, Duncan Hine, Kilian Meier, Caspian Johnson et al.
Bristol Research (University of Bristol)
UAV Applications and Optimization
article

WildBridge:Conservation Software for Animal Localisation using Commercial Drones

Tom G. Richardson, Duncan Hine, Kilian Meier, Caspian Johnson, Guy Maalouf, Matthew Watson, Arthur G Richards
article en

Abstract

This paper assesses the usability and accuracy of a commercially off-the-shelf (COTS) platform for precise terrestrial animal localization. To achieve localization, this paper uses a single-shot coordinate transform method. The platform selected in this work is the DJI Mavic 3E quad-copter, since it is a popular and widely adopted platform, in particular among the wildlife conservation community. To enable the use of the DJI Mavic 3E, a software interface was developed to access telemetry and camera feed in realtime. The method was tested during two field campaigns in Kenya and Wales. These field campaigns permitted the discovery of localization error sources and their possible mitigation, in particular through adequate mission planning. The preliminary maximum localization error was computed to be 19.2m laterally and 14.4m longitudinally for an animal positioned 385m from the UAV flying at 120m above groun

Bristol Research (University of Bristol)
Life in Land
Openalex Percentile: Top 16%
UAV Applications and Optimization
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