{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T23:26:39Z","timestamp":1772839599404,"version":"3.50.1"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032076373","type":"print"},{"value":"9783032076380","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T00:00:00Z","timestamp":1763942400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T00:00:00Z","timestamp":1763942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-07638-0_22","type":"book-chapter","created":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T18:22:47Z","timestamp":1763922167000},"page":"266-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Drone Swarms for\u00a0Multi-perspective Monitoring of\u00a0Large Mammals in their Natural Habitats: Deployment and\u00a0Field Trials"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4657-8552","authenticated-orcid":false,"given":"Edouard G. A.","family":"Rolland","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6044-9040","authenticated-orcid":false,"given":"Kilian","family":"Meier","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6360-371X","authenticated-orcid":false,"given":"Kasper A. R.","family":"Gr\u00f8ntved","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0406-0839","authenticated-orcid":false,"given":"Lucie","family":"Laporte-Devylder","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9175-5512","authenticated-orcid":false,"given":"Guy","family":"Maalouf","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4119-2689","authenticated-orcid":false,"given":"Ulrik P. S.","family":"Lundquist","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9994-2908","authenticated-orcid":false,"given":"Anders L.","family":"Christensen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,24]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Afridi, S., et al.: Impact of drone disturbances on wildlife: a review. Drones 9(4) (2025)","DOI":"10.3390\/drones9040311"},{"key":"22_CR2","unstructured":"Bozzini, C., et al.: A new tool for obtaining cartographic georeferenced data from single oblique photos. In: Proceedings of the XXIIIrd International CIPA Symposium, Prague, Czech Republic, vol.\u00a01216, p.\u00a06. CIPA (2011)"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Grushchak, D., et al.: Decentralized multi-drone coordination for wildlife video acquisition. In: IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2024, Aarhus, Denmark, 16\u201320 September 2024, pp. 31\u201340. IEEE (2024)","DOI":"10.1109\/ACSOS61780.2024.00021"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Hamel, H., et al.: Using drones to measure jellyfish density in shallow estuaries. J. Mar. Sci. Eng. 9(6) (2021)","DOI":"10.3390\/jmse9060659"},{"key":"22_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/BFb0032069","volume-title":"Automata, Languages and Programming","author":"F Hoffmann","year":"1990","unstructured":"Hoffmann, F.: On the rectilinear art gallery problem. In: Paterson, M.S. (ed.) ICALP 1990. LNCS, vol. 443, pp. 717\u2013728. Springer, Heidelberg (1990). https:\/\/doi.org\/10.1007\/BFb0032069"},{"issue":"2","key":"22_CR6","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s13364-018-0400-2","volume":"64","author":"S Inoue","year":"2019","unstructured":"Inoue, S., et al.: Spatial positioning of individuals in a group of feral horses: a case study using drone technology. Mammal Res. 64(2), 249\u2013259 (2019)","journal-title":"Mammal Res."},{"issue":"1","key":"22_CR7","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3390\/drones3010010","volume":"3","author":"J Jim\u00e9nez L\u00f3pez","year":"2019","unstructured":"Jim\u00e9nez L\u00f3pez, J., et al.: Drones for conservation in protected areas. Drones 3(1), 10 (2019)","journal-title":"Drones"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Kholiavchenko, M., et al.: KABR: in-situ dataset for Kenyan animal behavior recognition from drone videos. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 31\u201340. IEEE (2024)","DOI":"10.1109\/WACVW60836.2024.00011"},{"key":"22_CR9","unstructured":"Kline, J., et al.: WildWing: an open-source, autonomous and affordable UAS for animal behaviour video monitoring. Methods Ecol. Evol. (2025)"},{"issue":"7","key":"22_CR10","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1111\/1365-2656.13904","volume":"92","author":"B Koger","year":"2023","unstructured":"Koger, B., et al.: Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision. J. Anim. Ecol. 92(7), 1357\u20131371 (2023)","journal-title":"J. Anim. Ecol."},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Li, X., et al.: Reactive deployment of autonomous drones for livestock monitoring based on density-based clustering. In: 2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019, Dali, China, 6\u20138 December 2019, pp. 2421\u20132426. IEEE (2019)","DOI":"10.1109\/ROBIO49542.2019.8961763"},{"issue":"4","key":"22_CR12","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1111\/mam.12046","volume":"45","author":"J Linchant","year":"2015","unstructured":"Linchant, J., et al.: Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges. Mammal Rev. 45(4), 239\u2013252 (2015)","journal-title":"Mammal Rev."},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Maalouf, G., et al.: Insights into safe and scalable BVLOS UAS operations from Kenya\u2019s Ol pejeta conservancy. In: 2025 International Conference on Unmanned Aircraft Systems (ICUAS), Charlotte, North Carolina, USA (2025)","DOI":"10.1109\/ICUAS65942.2025.11007907"},{"issue":"1","key":"22_CR14","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1038\/s41598-020-79790-1","volume":"11","author":"T Maeda","year":"2021","unstructured":"Maeda, T., et al.: Aerial drone observations identified a multilevel society in feral horses. Sci. Rep. 11(1), 71 (2021)","journal-title":"Sci. Rep."},{"key":"22_CR15","unstructured":"Meier, K., et al.: WildBridge: conservation software for animal localisation using commercial drones. In: 15th Annual IMAV Conference and Competition, pp. 324\u2013333 (2024)"},{"issue":"5","key":"22_CR16","doi-asserted-by":"publisher","first-page":"1402","DOI":"10.1109\/JSEN.2011.2170833","volume":"12","author":"Y Morsly","year":"2011","unstructured":"Morsly, Y., et al.: Particle swarm optimization inspired probability algorithm for optimal camera network placement. IEEE Sens. J. 12(5), 1402\u20131412 (2011)","journal-title":"IEEE Sens. J."},{"key":"22_CR17","unstructured":"Nathan, R.J.A.A., et al.: An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation. CoRR abs\/2407.10754 (2024)"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Oren, M., et al.: Generalization of lambert\u2019s reflectance model. In: Schweitzer, D., et al. (eds.) Proceedings of the 21th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1994, Orlando, FL, USA, 24\u201329 July 1994, pp. 239\u2013246. ACM (1994)","DOI":"10.1145\/192161.192213"},{"issue":"2","key":"22_CR19","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1109\/TAP.2004.823969","volume":"52","author":"J Robinson","year":"2004","unstructured":"Robinson, J., et al.: Particle swarm optimization in electromagnetics. IEEE Trans. Antennas Propag. 52(2), 397\u2013407 (2004)","journal-title":"IEEE Trans. Antennas Propag."},{"issue":"9","key":"22_CR20","doi-asserted-by":"publisher","first-page":"1899","DOI":"10.1111\/2041-210X.13912","volume":"13","author":"JM Robinson","year":"2022","unstructured":"Robinson, J.M., et al.: Existing and emerging uses of drones in restoration ecology. Methods Ecol. Evol. 13(9), 1899\u20131911 (2022)","journal-title":"Methods Ecol. Evol."},{"key":"22_CR21","unstructured":"Rolland, E., et al.: Drone swarms for animal monitoring: a method for collecting high-quality multi-perspective data. In: 15th Annual IMAV Conference and Competition, pp. 316\u2013323 (2024)"},{"key":"22_CR22","doi-asserted-by":"crossref","unstructured":"Rolland, E.G.A., et al.: Autonomous UAV volcanic plume sampling based on machine vision and path planning. In: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1064\u20131071. IEEE (2024)","DOI":"10.1109\/ICUAS60882.2024.10556912"},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Rolland, E.G.A., et al.: Advancing wildlife monitoring in gregarious species with drone swarms. In: International Symposium on Distributed Computing and Artificial Intelligence, pp. 310\u2013316. Springer (2024)","DOI":"10.1007\/978-3-031-80946-0_33"},{"key":"22_CR24","unstructured":"Rovero, F., et al.: A review of camera features and study designs for a range of wildlife research applications. Hystrix Italian J. Mammal. (2013)"},{"key":"22_CR25","unstructured":"Shukla, V., et al.: Exploring the potential of UAV collaborative 3d mapping in Kenyan savanna for wildlife research. In: 15th Annual IMAV Conference and Competition, pp. 301\u2013308 (2024)"},{"key":"22_CR26","doi-asserted-by":"crossref","unstructured":"Stein, A., et al.: Spatial marked point patterns for herd dispersion in a savanna wildlife herbivore community in Kenya, pp. 261\u2013273. Springer (2006)","DOI":"10.1007\/0-387-31144-0_14"},{"key":"22_CR27","doi-asserted-by":"crossref","unstructured":"Strumberger, I., et al.: Static drone placement by elephant herding optimization algorithm. In: 2017 25th Telecommunication Forum (Telfor), pp.\u00a01\u20134. IEEE (2017)","DOI":"10.1109\/TELFOR.2017.8249469"},{"key":"22_CR28","doi-asserted-by":"publisher","first-page":"40881","DOI":"10.1109\/ACCESS.2019.2941069","volume":"8","author":"X Wang","year":"2020","unstructured":"Wang, X., et al.: Solving optimal camera placement problems in IoT using LH-RPSO. IEEE Access 8, 40881\u201340891 (2020)","journal-title":"IEEE Access"},{"issue":"1","key":"22_CR29","first-page":"26","volume":"17","author":"J Wu","year":"2019","unstructured":"Wu, J., et al.: Hyperparameter optimization for machine learning models based on Bayesian optimization. J. Electron. Sci. Technol. 17(1), 26\u201340 (2019)","journal-title":"J. Electron. Sci. Technol."}],"container-title":["Lecture Notes in Computer Science","Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-07638-0_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T18:22:50Z","timestamp":1763922170000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-07638-0_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,24]]},"ISBN":["9783032076373","9783032076380"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-07638-0_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,24]]},"assertion":[{"value":"24 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAAMS Workshop","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Practical Applications of Agents and Multi-Agent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lille","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"paams2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/paams.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}