DADDI: Offshore Floating Structure Aerial Dataset

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2024

Autores

Claro, R (Autor) Outra; Neves, F (Autor) Outra; Pereira, P (Autor) Outra; Pinto, A (Autor) FEUP

Ata de Conferência Internacional

Título: Oceans Conference Record (IEEE)

Páginas: 01-04

OCEANS 2024 - Singapore, OCEANS 2024

Singapore, 15 April 2024 through 18 April 2024

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-017-MKP

DOI: 10.1109/oceans55160.2024.10754402

Abstract (EN): With the expansion of offshore infrastructure, the necessity for efficient Operation and Maintenance (O&M) procedures intensifies. This article introduces DADDI, a multimodal dataset obtained from a real offshore floating structure, aimed at facilitating comprehensive inspections and 3D model creation. Leveraging Unmanned Aerial Vehicles (UAVs) equipped with advanced sensors, DADDI provides synchronized data, including visual images, thermal images, point clouds, GNSS, IMU, and odometry data. The dataset, gathered during a campaign at the ATLANTIS Coastal Testbed, offers over 2500 samples of each data type, along with intrinsic and extrinsic sensor calibrations. DADDI serves as a vital resource for the development and evaluation of algorithms, models, and technologies tailored to the inspection, monitoring, and maintenance of complex maritime structures. © 2024 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica