| Naslov (engleski) | SAR-DAG_raycast DATASET |
| Autor | Marina Ivašić Kos Faculty of Informatics and Digital Technologies, University of Rijeka; Centre for Artificial Intelligence, University of Rijeka |
| Autor | Goran Paulin Kreativni odjel d.o.o. |
| Autor | Saša Sambolek High school Tina Ujevića, Kutina |
| Znanstveno / umjetničko područje, polje i grana | DRUŠTVENE ZNANOSTI Informacijske i komunikacijske znanosti Informacijski sustavi i informatologija |
| Znanstveno / umjetničko područje, polje i grana | TEHNIČKE ZNANOSTI Računarstvo Obradba informacija |
| Sažetak (engleski) | 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. |
| Ključne riječi (engleski) | |
| Jezik | engleski |
| URN:NBN | urn:nbn:hr:195:686105 |
| Datum objave | 2023-07-20 |
| Verzija | v1 |
| Geolokacija | Kutina, Hrvatska |
| Projekt | Šifra: 101087348 Naziv (engleski): HORIZON EUROPE Widening participation and spreading excellence INNO2MARE project Kratica: INNO2MARE Voditelj: UNIRI Pravna nadležnost: eu |
| Izdavač | Fakultet informatike i digitalnih tehnologija Faculty of Informatics and Digital Technologies |
| Prava pristupa | Otvoreni pristup |
| Uvjeti korištenja |  |
| Javna napomena (engleski) | 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. |
| Datum i vrijeme pohrane | 2023-07-20 19:56:23 |
