PETS2025: Multi-Authority Multi-Sensor Maritime Surveillance Challenge and Evaluation
This paper presents the outcomes of the PETS2025 challenge, held in conjunction with AVSS 2025 and sponsored by the EU-funded EURMARS project. The challenge introduces a novel maritime surveillance dataset comprising image sequences captured by diverse multi-altitude, multimodal sensors, reflecting the real-world multi-authority environment. The key tasks include: (1) object detection using various sensors across different platforms (ground-based and low-altitude aerial) and spectral ranges (visible, thermal, ultraviolet (UV), and short-wave infrared (SWIR)); (2) long-term tracking of targets in maritime environments spanning both sea and land; and (3) approximating target geolocations by using sensor imagery and telemetry data. Performance evaluations of results submitted by 12 international participants are discussed. The results show the effectiveness of these submissions and highlight ongoing challenges posed by heterogeneous sensors and complex environments. These challenges emphasise the need to further improve detection, tracking, and geolocation approximation for maritime and coastal surveillance.
Authors
- Andreas Opitz (ORCID: https://orcid.org/0000-0002-1494-7591)
- Jun-Wei Hsieh (ORCID: https://orcid.org/0000-0003-4729-0730)
- Xuefeng Zhu (ORCID: https://orcid.org/0000-0003-0262-5891)
- Romaios Bratskas
- Pyong-Kun Kim
- Stephan Veigl
- Alfredo Gabaldon (ORCID: https://orcid.org/0000-0001-8774-0172)
- James Ferryman (ORCID: https://orcid.org/0000-0003-2194-4871)
- Andreas Kriechbaum-Zabini
- Tianyang Xu (ORCID: https://orcid.org/0000-0002-9015-3128)
- Jinjie Gu (ORCID: https://orcid.org/0000-0001-7596-4945)
- Ming‐Cheng Kao (ORCID: https://orcid.org/0000-0001-6795-5774)
- Jonathan Boyle (ORCID: https://orcid.org/0000-0002-5785-8046)
- Wenjun Fan (ORCID: https://orcid.org/0000-0002-7363-9695)
- Thanet Markchom (ORCID: https://orcid.org/0000-0002-2685-0738)
- Kwang‐Ju Kim (ORCID: https://orcid.org/0000-0001-8458-4506)
- Stephanie Stacy
- Kyoungoh Lee (ORCID: https://orcid.org/0000-0002-5273-0131)
- Xiao‐Jun Wu (ORCID: https://orcid.org/0000-0002-0310-5778)
- Dongyoung Kim (ORCID: https://orcid.org/0000-0001-7039-4904)
- Sangwon Kim (ORCID: https://orcid.org/0000-0002-7452-3897)
- Lulu Chen (ORCID: https://orcid.org/0000-0002-5108-8116)
- Hsiang-Wei Huang (ORCID: https://orcid.org/0000-0003-0373-9487)
- Jenq–Neng Hwang (ORCID: https://orcid.org/0000-0002-8877-2421)
- Kyoko Sudo (ORCID: https://orcid.org/0000-0002-0514-1158)
- Chung-I Huang
- S. Kaneko
- Peter Tu
- George Leventakis
- Kenta Saito
- J. Kittler
- Nguyen Thanh Thien
- Anastasios Gkamaris
- Dimitris Papachristos
- Teepakorn Lilek
- Tossapol Pomsuwan
- Matteo Marturini
Institutions
- Jiangnan University (CN)
- Toho University (JP)
- AIT Austrian Institute of Technology GmbH (AT)
- Electronics and Telecommunications Research Institute (KR)
- National Electronics and Computer Technology Center (TH)
- National Yang Ming Chiao Tung University (TW)
- University of Washington (US)
- ADS Group (GB)
- Government of Thailand (TH)
- University of Surrey (GB)
- National Center for High-Performance Computing (TW)
- University Of Information Technology (MM)
- GE Global Research (United States) (US)
- University of Reading (GB)
- University of the Aegean (GR)
Publication Details
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1109/avss65446.2025.11149786
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- HORIZON EUROPE Framework Programme