DADDI: Offshore Floating Structure Aerial Dataset

• Type: Article in International Conference Proceedings Book
• Date: 2024

Authors

Claro, R (Author) Other; Neves, F (Author) Other; Pereira, P (Author) Other; Pinto, A (Author) FEUP

Conference proceedings International

Title: Oceans Conference Record (IEEE)

Pages: 01-04

OCEANS 2024 - Singapore, OCEANS 2024

Singapore, 15 April 2024 through 18 April 2024

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific