A Portable Electromagnetic System Based on mm-Wave Radars and GNSS-RTK Solutions for 3D Scanning of Large Material Piles
Autor: | Fernando Las-Heras Andres, Maria Garcia-Fernandez, Yuri Álvarez López, Jaime Laviada, Guillermo Alvarez-Narciandi, Humberto Fernández Álvarez |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
050210 logistics & transportation
Adaptive algorithm Positioning system Computer science GNSS-RTK positioning 05 social sciences Real-time computing 0211 other engineering and technologies Point cloud 02 engineering and technology lcsh:Chemical technology Biochemistry Atomic and Molecular Physics and Optics Article electromagnetic scanning Analytical Chemistry mm-wave radars GNSS applications 0502 economics and business wireless technology lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation 021102 mining & metallurgy point cloud |
Zdroj: | Sensors Volume 21 Issue 3 RUO. Repositorio Institucional de la Universidad de Oviedo instname Sensors, Vol 21, Iss 757, p 757 (2021) Sensors (Basel, Switzerland) |
ISSN: | 1424-8220 |
DOI: | 10.3390/s21030757 |
Popis: | In this paper, a portable three-dimensional (3D) scanning system for the accurate characterization of large raw material (e.g., cereal grain, coal, etc.) stockpiles is presented. The system comprises an array of high resolution millimeter-wave radars and a cm-level accuracy positioning system to accurately characterize large stockpiles by means of a high-resolution 3D map, making it suitable for automation purposes. A control unit manages the data received by the sensors, which are sent to a computer system for processing. As a proof of concept, the entire sensor system is evaluated in a real environment for electromagnetically scan a scaled stockpile of coal, used in the industry for handling raw materials. In addition, a highly efficient processing adaptive algorithm that may reconstruct the scanned structure in real-time has been introduced, enabling continuous dynamic updating of the information. Results are compared with those from a photogrammetry-like technique, revealing an excellent agreement. This research was funded by Ministerio de Ciencia, Innovación y Universidades of Spain Government under project MILLIHAND RTI2018-095825-B-I00, by the Gobierno del Principado de Asturias and European Union (FEDER) under Project GRUPIN-IDI-2018 000191 and by the TSK company under its Open Innovation Program. |
Databáze: | OpenAIRE |
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