Publicação
Estimação do volume de um espaço interior com LiDAR
| Resumo: | 3D scanning is a task of great importance for our modern society and has brought great advance when it comes to precision of inventory. These sensors measure and map the material surface continuously, allowing real-time inventory monitoring. This work presents the simulation of a low-cost 3D scanning system based on timeof- flight, that after a voxelization process, performs the volume estimation of an object filled indoor space. The Evolid system consists of a 2D LiDAR scanner performing 180º variation. Through coupling in a stepper motor, the sensor also moves on the tilt axis, allowing threedimensional mapping. The system and methodology developed were implemented and validated through SimTwo, a realistic simulator. Subsequently, the approach for data collection in the real environment was tested, demonstrating that a developed solution met the proposed objectives. Finally, possible works to be foreseen in future works are highlighted. |
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| Autores principais: | Bierende, Jaqueline |
| Assunto: | LiDAR Scanner 2D Simulator Volume estimation Voxelization Point cloud |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | português |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | 3D scanning is a task of great importance for our modern society and has brought great advance when it comes to precision of inventory. These sensors measure and map the material surface continuously, allowing real-time inventory monitoring. This work presents the simulation of a low-cost 3D scanning system based on timeof- flight, that after a voxelization process, performs the volume estimation of an object filled indoor space. The Evolid system consists of a 2D LiDAR scanner performing 180º variation. Through coupling in a stepper motor, the sensor also moves on the tilt axis, allowing threedimensional mapping. The system and methodology developed were implemented and validated through SimTwo, a realistic simulator. Subsequently, the approach for data collection in the real environment was tested, demonstrating that a developed solution met the proposed objectives. Finally, possible works to be foreseen in future works are highlighted. |
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