UAV-Supported Maritime Search System: Experience from Valun Bay Field Trials
Fuente:
arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
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| _version_ | 1866908822495297536 |
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| author | Ivić, Stefan Lanča, Luka Jakac, Karlo Sikirica, Ante Dumenčić, Stella Mališa, Matej Mrle, Zvonimir Crnković, Bojan |
| author_facet | Ivić, Stefan Lanča, Luka Jakac, Karlo Sikirica, Ante Dumenčić, Stella Mališa, Matej Mrle, Zvonimir Crnković, Bojan |
| contents | This paper presents the integration of flow field reconstruction, dynamic probabilistic modeling, search control, and machine vision detection in a system for autonomous maritime search operations. Field experiments conducted in Valun Bay (Cres Island, Croatia) involved real-time drifter data acquisition, surrogate flow model fitting based on computational fluid dynamics and numerical optimization, advanced multi-UAV search control and vision sensing, as well as deep learning-based object detection. The results demonstrate that a tightly coupled approach enables reliable detection of floating targets under realistic uncertainties and complex environmental conditions, providing concrete insights for future autonomous maritime search and rescue applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_08450 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | UAV-Supported Maritime Search System: Experience from Valun Bay Field Trials Ivić, Stefan Lanča, Luka Jakac, Karlo Sikirica, Ante Dumenčić, Stella Mališa, Matej Mrle, Zvonimir Crnković, Bojan Robotics Optimization and Control This paper presents the integration of flow field reconstruction, dynamic probabilistic modeling, search control, and machine vision detection in a system for autonomous maritime search operations. Field experiments conducted in Valun Bay (Cres Island, Croatia) involved real-time drifter data acquisition, surrogate flow model fitting based on computational fluid dynamics and numerical optimization, advanced multi-UAV search control and vision sensing, as well as deep learning-based object detection. The results demonstrate that a tightly coupled approach enables reliable detection of floating targets under realistic uncertainties and complex environmental conditions, providing concrete insights for future autonomous maritime search and rescue applications. |
| title | UAV-Supported Maritime Search System: Experience from Valun Bay Field Trials |
| topic | Robotics Optimization and Control |
| url | https://arxiv.org/abs/2602.08450 |