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Videos collected for FIREFRONT project.

Location: Castanheira de Pêra Date: 2022/05/09-10 Format: MPEG-TS, STANAG 4609 encoded telemetry

Day 1 Test flights. Videos without fire.

Day 2 Videos with fire.

If you use this dataset in your work, please cite with:

@InProceedings{10.1007/978-3-031-37742-6_15,
  author="Ribeiro, Ricardo
  and Bernardino, Alexandre
  and Cruz, Gon{\c{c}}alo
  and Silva, Diogo
  and Felix, Lu{\'i}s
  and Caetano, Jo{\~a}o
  and Folgado, Duarte
  and Francisco, Jo{\~a}o
  and Sim{\~o}es, Nuno
  and Viegas, Carlos Xavier
  and Viegas, Domingos Xavier
  and Harkat, Houda
  and Nascimento, Jose",
  editor="Rousseau, Jean-Jacques
  and Kapralos, Bill",
  title="Towards the Automation of Wildfire Monitoring with Aerial Vehicles: The FIREFRONT Project",
  booktitle="Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges",
  year="2023",
  publisher="Springer Nature Switzerland",
  address="Cham",
  pages="183--193",
  abstract="This paper describes an integrated system for wildfire monitoring with aerial vehicles. The system is composed of an airborne payload compatible with UAVs and manned aircraft and associated communication and software infrastructure. The system is able to detect fire and smoke in the payload thermal and RGB images, georeference their location in ground coordinates using telemetry (GPS, IMU), and forecast the fire front spread. We describe the progress made in the payload system, acquired datasets, fire/smoke segmentation methods, fire georeferencing, and wildfire spread modeling, providing the reader with a overview of the project and related technical publications.",
  isbn="978-3-031-37742-6"
}
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