Projets par an
Résumé
Considering the ever-increasing use of drones in a plentitude of application areas, the risk is that also an ever-increasing number of drone incidents would be observed. Research has shown that a large majority of all incidents with drones is due not to technological, but to human error. An advanced risk-reduction methodology, focusing on the human element, is thus required in order to allow for the safe use of drones. In this paper, we therefore introduce a novel concept to provide a qualitative and quantitative assessment of the performance of the drone operator. The proposed methodology is based on one hand upon the development of standardized test methodologies and on the other hand on human performance modeling of the drone operators in a highly realistic simulation environment.
langue originale | Anglais |
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titre | Advances in Human Factors in Robots, Drones and Unmanned Systems - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems |
rédacteurs en chef | Matteo Zallio |
Lieu de publication | San Diego, USA |
Editeur | Springer |
Pages | 71-77 |
Nombre de pages | 7 |
ISBN (imprimé) | 9783030517571 |
Les DOIs | |
état | Publié - 2021 |
Evénement | AHFE Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems, and the International Conference on Human Factors in Cybersecurity, 2020 - San Diego, États-Unis Durée: 16 juil. 2020 → 20 juil. 2020 |
Série de publications
Nom | Advances in Intelligent Systems and Computing |
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Volume | 1210 AISC |
ISSN (imprimé) | 2194-5357 |
ISSN (Electronique) | 2194-5365 |
Une conférence
Une conférence | AHFE Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems, and the International Conference on Human Factors in Cybersecurity, 2020 |
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Pays/Territoire | États-Unis |
La ville | San Diego |
période | 16/07/20 → 20/07/20 |
Empreinte digitale
Examiner les sujets de recherche de « Reducing Drone Incidents by Incorporating Human Factors in the Drone and Drone Pilot Accreditation Process ». Ensemble, ils forment une empreinte digitale unique.Projets
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HFM/19-05: Simulation engine for military RPAS operations with integrated Human factors and standardised test methodologies - ALPHONSE
De Smet, H. (Promoteur), Doroftei, L. (Chercheur) & Haelterman, R. (Chercheur)
1/01/19 → 31/12/23
Projet: Recherche