Ontology based navigation model of the ILONA system

Kun, Dániel Péter; Varga, Erika; Tóth, Zsolt

doi:10.1109/sami.2017.7880357

Cited by 12 publications

(7 citation statements)

References 25 publications

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“…Yang and Worboys ( 2015 ) also supports structuring of indoor spaces into rooms and portals from offline generated data. Kun et al ( 2017 ) report on ontology-based navigation as part of an indoor positioning framework, introducing basic categories of abstract 2D objects (right Figure 3 ). All these approaches strongly support design of an abstract comprehensive representation of the scene to compute interactive navigation graphs for an indoor space (section 3.2.2).…”

Section: Related Workmentioning

confidence: 99%

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High-Level Teleoperation System for Aerial Exploration of Indoor Environments

et al. 2019

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Exploration of challenging indoor environments is a demanding task. While automation with aerial robots seems a promising solution, fully autonomous systems still struggle with high-level cognitive tasks and intuitive decision making. To facilitate automation, we introduce a novel teleoperation system with an aerial telerobot that is capable of handling all demanding low-level tasks. Motivated by the typical structure of indoor environments, the system creates an interactive scene topology in real-time that reduces scene details and supports affordances. Thus, difficult high-level tasks can be effectively supervised by a human operator. To elaborate on the effectiveness of our system during a real-world exploration mission, we conducted a user study. Despite being limited by real-world constraints, results indicate that our system better supports operators with indoor exploration, compared to a baseline system with traditional joystick control.

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Section: Related Workmentioning

confidence: 99%

“…Indoor environments can typically be structured into wider open areas (rooms) and more narrow spaces (portals) connecting rooms (Kun et al, 2017 ). During the exploration task, our goal is to detect and visualize potential portals.…”

Section: System Implementationmentioning

confidence: 99%

High-Level Teleoperation System for Aerial Exploration of Indoor Environments

et al. 2019

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“…Building topology BOT [43], TDO [44], SBIM [45], BIMSO [46], muso [47], ifcOWL [36,48], IFC ontology [49], building object ontology [50] ILONA [51], OntoNav [52], SimpleBIM [53], OntoFM [54][55][56], ThinkHome building ontology [35], ogbxml [57] Building taxonomy BFHO [58], building object ontology [50] Element topology BPO [59], nameless ontology [60], construction-oriented product ontology [61], nameless ontology [62], IFC IR ontology [63] Table 2. Cont.…”

Section: Topologymentioning

confidence: 99%

Semantic Web Technologies for Indoor Environmental Quality: A Review and Ontology Design

et al. 2022

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Indoor environmental quality (IEQ) affects occupants’ satisfaction, health, productivity, comfort, and well-being. IoT developments enable better monitoring of IEQ parameters; however, integrating the various types of heterogeneous data from both the IoT and BIM domains is cumbersome and capital intensive, and therefore, limits the potential of smart buildings. Semantic web technologies can reduce heterogeneity issues, which is necessary to facilitate complex IEQ models. An ontology integrating data related to a building’s topology and its static and dynamic properties is still lacking. The outline of this research is twofold. First, a systematic literature review was conducted to find state-of-the-art semantic web technologies related to building topology, static properties, and dynamic properties from the IoT and BIM domains. By graphically reviewing various ontologies, their valuable patterns, commonalities, and best practices were revealed. Secondly, those results were used to develop a new ontology that integrates topological building information with static and dynamic properties. This Building Performance Ontology (BOP) provides a generic upper-level description of properties and two lower-level ontologies representing observations and actuation. The ontology results in intuitive queries and is both horizontally and vertically extensible. Multiple levels of detail are introduced to ensure practical applicability and efficient patterns based on the data modeler’s needs. BOP opens up a new range of research opportunities in the IEQ domain.

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“…The physiology factor of the operator was semantically represented with HUMAN STRESS ONTOLOGY [52], considering the data sources steaming from the physiological parameters, such as the heart rate and blood pressure. The indoor navigation ontology introduced in the ILONA system [53] was applied for the indoor model positioning of the operators. Therefore, the considered set of references, based on the integration of such ontologies was as shown in Table 1.…”

Section: Modeling Layermentioning

confidence: 99%

Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces

Sun

Zheng

Gong

et al. 2020

Sensors

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Recent advances in technology have empowered the widespread application of cyber–physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped with integrated communication and data processing capabilities. Operators can become part of the smart manufacturing systems, and this fosters a paradigm shift from independent automated and human activities to human–cyber–physical systems (HCPSs). In this context, a Healthy Operator 4.0 (HO4.0) concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology. For the implementation of this relatively new concept, we constructed a unified architecture to support the integration of different enabling technologies. We designed an implementation model to facilitate the practical application of this concept in industry. The main enabling technologies of the model are introduced afterward. In addition, a prototype system was developed, and relevant experiments were conducted to demonstrate the feasibility of the proposed system architecture and the implementation framework, as well as some of the derived benefits.

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Ontology based navigation model of the ILONA system

Cited by 12 publications

References 25 publications

High-Level Teleoperation System for Aerial Exploration of Indoor Environments

High-Level Teleoperation System for Aerial Exploration of Indoor Environments

Semantic Web Technologies for Indoor Environmental Quality: A Review and Ontology Design

Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces

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