Dataset
SAR-DAG_raycast DATASET
Faculty of Informatics and Digital Technologies, 2023. urn:nbn:hr:195:686105
Ivašić Kos, Marina; Paulin, Goran; Sambolek, Saša

 Dataset
Dataset: sar-dag_raycast.zip, 2.8 GB
Access Condition: Open access
Description:
The "3D_terrain_data" folder contains data required to rebuild 3D terrain. Subfolder "20220206 downloaded data" contains NASA'S DEM and OSM map, both downloaded on 06/02/2022. Subfolder "geo" contains generated 3D terrain (30 m and 100 m resolution) in Houdini's .bgeo.sc format. The folder "drone_data" contains the "CSVs" subfolder, with 9 CVSs prepared as the raycaster's input. Subfolder "flights" contains data for the 7 flights. There are 3 subfolders ("DET", "GT" and "REC") in each flight's folder. "DET" contains images with our detections marked. "GT" contains ground truth stored in text files. "REC" contains raw recorded images (with metadata). Experiment details are available in the "Application of Raycast Method for Person Geolocalization and Distance Determination Using UAV Images in Real-World Land Search and Rescue Scenarios" paper. (English)

Documentation: readme.txt, 1.48 KB
Access Condition: Open access

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Cite this document

Ivašić Kos, M., Paulin, G. & Sambolek, S. (2023). SAR-DAG_raycast DATASET [Data set]. https://urn.nsk.hr/urn:nbn:hr:195:686105.

Ivašić Kos, Marina, et al. SAR-DAG_raycast DATASET. Fakultet informatike i digitalnih tehnologija, 2023. 26 Dec 2024. https://urn.nsk.hr/urn:nbn:hr:195:686105.

Ivašić Kos, Marina, Goran Paulin, and Saša Sambolek. 2023. SAR-DAG_raycast DATASET. Fakultet informatike i digitalnih tehnologija. https://urn.nsk.hr/urn:nbn:hr:195:686105.

Ivašić Kos, M., Paulin, G. and Sambolek, S. 2023. SAR-DAG_raycast DATASET. Fakultet informatike i digitalnih tehnologija. [Online]. [Accessed 26 December 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:195:686105.

Ivašić Kos M, Paulin G, Sambolek S. SAR-DAG_raycast DATASET. [Internet]. Fakultet informatike i digitalnih tehnologija: Kutina, HR; 2023, [cited 2024 December 26] Available from: https://urn.nsk.hr/urn:nbn:hr:195:686105.

M. Ivašić Kos, G. Paulin and S. Sambolek, SAR-DAG_raycast DATASET, Fakultet informatike i digitalnih tehnologija, 2023. Accessed on: Dec 26, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:195:686105.

Title (english)SAR-DAG_raycast DATASET
AuthorMarina Ivašić Kos
Faculty of Informatics and Digital Technologies, University of Rijeka; Centre for Artificial Intelligence, University of Rijeka
AuthorGoran Paulin
Kreativni odjel d.o.o.
AuthorSaša Sambolek
High school Tina Ujevića, Kutina
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract (english)
A dataset is used to train and define a system that can precisely geolocate persons automatically detected in offline processed images recorded during the SAR mission. The dataset contains data 3D simulations for a few real-world terrains of different configurations and complexity using a custom-made 3D terrain generator and raycaster, along with a person detections with YOLO deep neural network on the real terrain. The collected data is used to define a method for geolocating detected persons based on raycasting, which allows using low-cost commercial drones with a monocular camera in SAR missions.
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:195:686105
Publication2023-07-20
Versionv1
GeolocationKutina, Croatia
ProjectNumber: 101087348
Title (english): HORIZON EUROPE Widening participation and spreading excellence INNO2MARE project
Acronym: INNO2MARE
Leader: UNIRI
Jurisdiction: eu
PublisherFakultet informatike i digitalnih tehnologija
Faculty of Informatics and Digital Technologies
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) icon
Public note (english)Experiment details are available in the "Application of Raycast Method for Person Geolocalization and Distance Determination Using UAV Images in Real-World Land Search and Rescue Scenarios" paper.
Created on2023-07-20 19:56:23