WildBridge: Conservation Software for Animal Localisation using Commercial Drones

Kilian Meier; Arthur Richards; Matthew Watson; Guy Maalouf; Caspian Johnson; Duncan Hine; Tom Richardson

WildBridge: Conservation Software for Animal Localisation using Commercial Drones

Kilian Meier^*, Arthur Richards, Matthew Watson, Guy Maalouf, Caspian Johnson, Duncan Hine, Tom Richardson

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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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

Original language	English
Title of host publication	15th annual International Micro Air Vehicle Conference and Competition
Editors	T. Richardson
Place of Publication	Bristol, United Kingdom
Pages	324-333
Number of pages	10
Publication status	Published - 20 Sept 2024

Bibliographical note

Paper no. IMAV2024-39

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title = "WildBridge: Conservation Software for Animal Localisation using Commercial Drones",

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",

author = "Kilian Meier and Arthur Richards and Matthew Watson and Guy Maalouf and Caspian Johnson and Duncan Hine and Tom Richardson",

note = "Paper no. IMAV2024-39",

year = "2024",

month = sep,

day = "20",

language = "English",

pages = "324--333",

editor = "T. Richardson",

booktitle = "15th annual International Micro Air Vehicle Conference and Competition",

}

WildBridge: Conservation Software for Animal Localisation using Commercial Drones. / Meier, Kilian ; Richards, Arthur ; Watson, Matthew et al.
15th annual International Micro Air Vehicle Conference and Competition. ed. / T. Richardson. Bristol, United Kingdom, 2024. p. 324-333.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Richards, Arthur

AU - Watson, Matthew

AU - Maalouf, Guy

AU - Johnson, Caspian

AU - Hine, Duncan

AU - Richardson, Tom

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N2 - 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

AB - 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

M3 - Conference Contribution (Conference Proceeding)

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BT - 15th annual International Micro Air Vehicle Conference and Competition

A2 - Richardson, T.

CY - Bristol, United Kingdom

ER -

WildBridge: Conservation Software for Animal Localisation using Commercial Drones

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