Scientific Publications

@inproceedings{11007907,

title = {Insights Into Safe and Scalable BVLOS UAS Operations from Kenya's OI Pejeta Conservancy},

author = {Guy Maalouf and Kilian Meier and Tom Richardson and David Guerin and Matt Watson and Ulrik Pagh Schultz Lundquist and Saadia Afridi and Edouard G. A. Rolland and Jes Hundevadt Jepsen and William Njoroge and Kjeld Jensen},

url = {https://ieeexplore.ieee.org/document/11007907},

doi = {10.1109/ICUAS65942.2025.11007907},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {2025 International Conference on Unmanned Aircraft Systems (ICUAS)},

pages = {905-912},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kline2025mmla,

title = {MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset},

author = {Jenna Kline and Samuel Stevens and Guy Maalouf and Camille Rondeau Saint-Jean and Dat Nguyen Ngoc and Majid Mirmehdi and David Guerin and Tilo Burghardt and Elzbieta Pastucha and Blair R Costelloe and others},

url = {https://arxiv.org/abs/2504.07744},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR): Workshop Computer Vision for Animal Behavior Tracking and Modeling (CV4Animals)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{imav2024-39:k_meier_et_al,

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

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

editor = {T. Richardson},

url = {http://www.imavs.org/papers/2024/39.pdf},

year  = {2024},

date = {2024-09-16},

urldate = {2024-09-16},

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

pages = {324–333},

address = {Bristol, United Kingdom},

note = {Paper no. IMAV2024-39},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{imav2024-38:e_rolland_et_al,

title = {Drone Swarms for Animal Monitoring: A Method for Collecting High-Quality Multi-Perspective Data},

author = {Edouard Rolland and Kasper Grøntved and Lucie Laporte-Devylder and Jenna Kline and Ulrik Lundquist and Anders Christensen},

editor = {T. Richardson},

url = {http://www.imavs.org/papers/2024/38.pdf},

year  = {2024},

date = {2024-09-16},

urldate = {2024-09-16},

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

pages = {316–323},

address = {Bristol, United Kingdom},

note = {Paper no. IMAV2024-38},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{imav2024-36:v_shukla_et_al,

title = {Exploring the potential of UAV collaborative 3D mapping in Kenyan savanna for wildlife research},

author = {Vandita Shukla and Luca Morelli and Pawel Trybala and Fabio Remondino and Wentian Gan and Yifei Yu and Xin Wang},

editor = {T. Richardson},

url = {http://www.imavs.org/papers/2024/36.pdf},

year  = {2024},

date = {2024-09-16},

urldate = {2024-09-16},

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

pages = {301–308},

address = {Bristol, United Kingdom},

note = {Paper no. IMAV2024-36},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{imav2024-27:m_haffer_et_al,

title = {Extended Reception Coverage and Spoofing Localization of Direct Remote ID utilizing Ad-Hoc Mesh Networking},

author = {Mads Fogh Høffer and Victor Dahl Herlev and Guy Maalouf and Jes Jepsen and Erik Winkler and Ivan Panov and Kjeld Jensen},

editor = {T. Richardson},

url = {http://www.imavs.org/papers/2024/27.pdf},

year  = {2024},

date = {2024-09-16},

urldate = {2024-09-16},

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

pages = {228–235},

address = {Bristol, United Kingdom},

note = {Paper no. IMAV2024-27},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{afridi2024unveiling,

title = {Unveiling the Impact of Drone Noise on Wildlife: A Crucial Research Imperative},

author = {Saadia Afridi and Kasper Hlebowicz and Dylan Cawthorne and Ulrik Pagh Schultz Lundquist},

url = {https://findresearcher.sdu.dk/ws/portalfiles/portal/266151156/Unveiling_the_Impact_of_Drone_Noise_on_Wildlife_A_Crucial_Research_Imperative.pdf},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {International Conference on Unmanned Aircraft Systems (ICUAS) 2024},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rolland2024autonomous,

title = {Autonomous UAV volcanic plume sampling based on machine vision and path planning},

author = {Edouard GA Rolland and Kasper AR Grøntved and Anders Lyhne Christensen and Matthew Watson and Tom Richardson},

url = {https://findresearcher.sdu.dk/ws/portalfiles/portal/268877297/ICUAS_Preprint.pdf},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 International Conference on Unmanned Aircraft Systems (ICUAS)},

pages = {1064–1071},

organization = {IEEE},

abstract = {Drones currently serve as a valuable tool for in-situ sampling of volcanic plumes, but they still involve manual piloting. In this paper, we enable autonomous dual plume sampling by using a machine vision model to detect eruptions. When an eruption is detected, a sampling trajectory is automatically enerated to intercept the plume twice to collect comparative samples. The machine vision model is developed by training a YOLOv8 object detection model thanks to a database of 1505 images that feature labelled plumes. The obtained average precision value of the model’s plume class, at 90.7%, is comparable to that of state-of-the-art models for wildfire smoke monitoring. The performance of this method is assessed using a software-in-the-loop simulation of the drone and a simulated plume model. Although the results confirm the efficacy of using a machine vision model for triggering an onboard path-planning algorithm, it also suggests the potential for a hybrid strategy that integrates visual servoing with our proposed path-planning approach. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{maalouf2024airspace,

title = {Airspace Situational Awareness: Proposed Airspace Safety Concepts & State-of-the-Art Review of UAS Aircraft Detection Technologies},

author = {Guy Maalouf and Jes Hundevadt Jepsen and Kjeld Jensen},

url = {https://portal.findresearcher.sdu.dk/files/266012358/Airspace_Situational_Awareness_Proposed_Airspace_Safety_Concepts_State-of-the-art_Review_of_UAS_Aircraft_Detection_Technologies.pdf)},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 International Conference on Unmanned Aircraft Systems (ICUAS)},

pages = {1393–1400},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{may2024polopointbasedmulticlass,

title = {POLO – Point-based, multi-class animal detection},

author = {Giacomo May and Emanuele Dalsasso and Benjamin Kellenberger and Devis Tuia},

url = {https://arxiv.org/abs/2410.11741},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {ECCV 2024 - 18th European Conference on Computer Vision},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rolland2024advancing,

title = {Advancing wildlife monitoring in gregarious species with drone swarms},

author = {Edouard Rolland and Lucie Laporte-Devylder and Anders Christensen},

url = {https://findresearcher.sdu.dk/ws/portalfiles/portal/268667227/DCAI_2024.pdf},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Distributed Computing and Artificial Intelligence, 21st International Conference},

organization = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}