Publicação
An approach fomodeling and simulation of virtual sensors in automatic control systems using game engines and machine learning
| dc.contributor.author | Rosas, João | en_US |
| dc.contributor.author | Palma, Luís Brito | en_US |
| dc.contributor.author | Antunes, Rui Azevedo | en_US |
| dc.date.accessioned | 2026-08-25T09:38:43Z | |
| dc.date.available | 2026-08-25T09:38:43Z | |
| dc.date.issued | 2024-11-28 | en_US |
| dc.date.updated | 2026-08-18T01:34:09Z | |
| dc.description.abstract | We live in an era characterized by Society 4.0 and Industry 4.0 where successive innovations that are more or less disruptive are occurring. Within this context, the modeling and simulation of dynamic supervisory and control systems require dealing with more sophistication and complexity, with effects in terms of development errors and higher costs. One of the most difficult aspects of simulating these systems is the handling of vision sensors. The current tools provide these sensors but in a specific and limited way. This paper describes a six-step approach to sensor virtualization. For testing the approach, a simulation platform based on game engines was developed. As contributions, the platform can simulate dynamic systems, including industrial processes with vision sensors. Furthermore, the proposed virtualization approach allows for the modeling of sensors in a systematic way, reducing the complexity and effort required to simulate this type of system. | eng |
| dc.description.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.citation | Rosas, J., Palma, L. B., & Antunes, R. A. (2024). An Approach for Modeling and Simulation of virtual sensors in automatic control systems using game engines and machine learning. Sensors, 24(23), 7610. https://doi.org/10.3390/s24237610 | |
| dc.identifier.doi | 10.3390/s24237610 | en_US |
| dc.identifier.issn | 1424-8220 | en_US |
| dc.identifier.slug | cv-prod-4222891 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/64342 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.relation.hasversion | https://www.mdpi.com/1424-8220/24/23/7610 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Automatic control systems | |
| dc.subject | Systems modeling and simulation | |
| dc.subject | Systems virtualization | |
| dc.subject | Game engines | |
| dc.subject | Machine learning | |
| dc.subject | Industry 4.0 | |
| dc.title | An approach fomodeling and simulation of virtual sensors in automatic control systems using game engines and machine learning | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 23 | en_US |
| oaire.citation.title | Sensors | en_US |
| oaire.citation.volume | 24 | en_US |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| rcaap.cv.cienciaid | 821E-61EA-5EF4 | Rui Manuel Carvalho dos Santos de Azevedo Antunes | |
| rcaap.rights | openAccess | en_US |