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Orientador(es)
Resumo(s)
This research proposes positioning obstacle detection sensors by multirotor unmanned aerial vehicles (UAVs) dedicated to detailed inspections in high voltage towers. Different obstacle detection sensors are analyzed to compose a multisensory architecture in a multirotor UAV. The representation of the beam pattern of the sensors is modeled in the CoppeliaSim simulator to analyze the sensors’ coverage and detection performance in simulation. A multirotor UAV is designed to carry the same sensor architecture modeled in the simulation. The aircraft is used to perform flights over a deactivated electrical tower, aiming to evaluate the detection performance of the sensory architecture embedded in the aircraft. The results obtained in the simulation were compared with those obtained in a real scenario of electrical inspections. The proposed method achieved its goals as a mechanism to early evaluate the detection capability of different previously characterized sensor architectures used in multirotor UAV for electrical inspections.
Descrição
Palavras-chave
Unmanned aerial vehicles Sensor modelling Robotic simulator Electrical inspections
Contexto Educativo
Citação
Berger, Guido; Braun, João; Júnior, Alexandre O.; Lima, José; Pereira, Ana I.; Valente, António; Soares, Salviano; Rech, Lucas C.; Cantieri, Álvaro R.; Wehrmeister, Marco A. (2022). Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections. In 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022. Bragança
