2017 4th International Conference on Control, Decision and Information Technologies (CoDIT) 2017
DOI: 10.1109/codit.2017.8102608
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Inoovas - Industrial ontology for operation in virtual and augmented scene: The architecture

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Cited by 14 publications
(19 citation statements)
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“…For example, Kunnen et al proposed a methodology to add inspection data directly to the 3D model of equipment using gaze-tracking and image recognition, which can facilitate future retrieval of information [66]. However, there is still a need to define a methodology to help feed back professional knowledge specific to maintenance operations within the DT, such as maintenance procedures or personal observations [66,95].…”
Section: Category Challengesmentioning
confidence: 99%
“…For example, Kunnen et al proposed a methodology to add inspection data directly to the 3D model of equipment using gaze-tracking and image recognition, which can facilitate future retrieval of information [66]. However, there is still a need to define a methodology to help feed back professional knowledge specific to maintenance operations within the DT, such as maintenance procedures or personal observations [66,95].…”
Section: Category Challengesmentioning
confidence: 99%
“…6) Inoovas ontology: The Inoovas ontology was designed by Vincent et al [21]. Its aim is to solve the problem of how all resources including people (mechanical or electrical designer, IT maintenance), heterogeneous software, and tools (VR, AR) can work together, when they remotely join in the procedure with an effective data exchange method in an Augmented and Virtual Reality (AVR) environment.…”
Section: A the Designed Ontologies In Different Domainsmentioning
confidence: 99%
“…Lastly, Real and Twin Thing ontologies concerns with defining AR classes. Vincent et al [21] used UML to represent the classes involved in the ontology. This paper used NeOn methodology, where the editor tool was missed in this paper.…”
Section: A the Designed Ontologies In Different Domainsmentioning
confidence: 99%
“…As cobotic represents a new way of collaboration between human and machine, stakeholders need to train themselves to understand how they should behave. By using the ontological model presented in previous research work (Havard, Jeanne, Savatier, & Baudry, 2017), the assembly instructions can be converted to create a complete virtual reality training system (see Training in VR in Figure 8). This assembly scenario available in virtual reality is also used during the digital prototype step by the operators for assessment of the configuration, safety, and ergonomics of the workstation (see Digital prototype step in Figure 8).…”
Section: Case Study and Design Steps Workflowmentioning
confidence: 99%