Volume Estimation of an Indoor Space with LiDAR Scanner

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2022

Autores

Bierende, J (Autor) Outra; Braun, J (Autor) Outra; Paulo Gomes da Costa (Autor) FEUP; Lima, J (Autor) Outra; Pereira, AI (Autor) Outra

Ata de Conferência Internacional

Título: OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2022

Páginas: 78-92

2nd International Conference on Optimization, Learning Algorithms and Applications (OL2A)

Povoa de Varzim, PORTUGAL, OCT 24-25, 2022

Indexação

ISI Web of Knowledge - 0 Citações

Scopus

Outras Informações

ID Authenticus: P-00X-PC3

DOI: 10.1007/978-3-031-23236-7_6

Abstract (EN): Three-dimensional scanning is a task of great importance for our modern society and has brought significant advances in the precision of material inventory. These sensors map the material surface continuously, allowing real-time inventory monitoring. Most technologies are expensive because this process is complex, and even inexpensive ones are considerate smart investments for the average user. Therefore, this work presents the simulation of a low-cost time-of-flight based 3D scanning system that performs the volume estimation of an object-filled indoor space after a voxelization process. The system consists of a 2D LIDAR scanner that performs an azimuthal scan of 180. through its rotating platform and a motor that rotates the platform in angle inclination.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15