Detalhes bibliográficos
| Resumo: | Artificial Intelligence has been introduced in many applications, namely in artificial vision-based systems with object detection tasks. This paper presents an object localization system with a motivation to use it in autonomous mobile robots at robotics competitions. The system aims to allow robots to accomplish their tasks more efficiently. Object detection is performed using a camera and artificial intelligence based on the YOLOv4 Tiny detection model. An algorithm was developed that uses the data from the system to estimate the parameters of location, distance, and orientation based on the pinhole camera model and trigonometric modelling. It can be used in smart identification procedures of objects. Practical tests and results are presented, constantly locating the objects and with errors between 0.16 and 3.8 cm, concluding that the object localization system is adequate for autonomous mobile robots. |
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| Autores principais: | Pilarski, Leonardo |
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| Outros Autores: | Luiz, Luiz Eduardo; Braun, João; Nakano, Alberto Yoshiro; Pinto, Vítor H.; Costa, Paulo Gomes da; Lima, José |
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| Assunto: | Robotic competitions Autonomous mobile robots Object detection Artificial intelligence |
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| Ano: | 2023 |
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| País: | Portugal |
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| Tipo de documento: | comunicação em conferência |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Instituto Politécnico de Bragança |
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| Idioma: | inglês |
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| Origem: | Biblioteca Digital do IPB |
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