Volume Estimation of an Indoor Space with LiDAR Scanner

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Bierende, J (Author) Other; Braun, J (Author) Other; Paulo Gomes da Costa (Author) FEUP; Lima, J (Author) Other; Pereira, AI (Author) Other

Conference proceedings International

Title: OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2022

Pages: 78-92

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

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

Indexing

ISI Web of Knowledge - 0 Citations

Scopus

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15