ONALIN: Ontology and Algorithm for Indoor Routing

Dudas, Patrick M.; Ghafourian, Mahsa; Karimi, Hassan A.

doi:10.1109/mdm.2009.123

Cited by 56 publications

(39 citation statements)

References 4 publications

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“…This will not only save users' time in another way but also enhance the user experience of the indoor navigation. Even though this path is not the shortest one, it is a better one [7] . Therefore, it will be meaningful to use personalized indoor navigation to find a best path for users according to users' interests.…”

Section: Personalized Routing Algorithmmentioning

confidence: 97%

Research on Personalized Indoor Routing Algorithm

Wei-jun

Guo

Qiu

2014

2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science

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As the mature GPS positioning technology cannot work well in indoor environment, there is no mature indoor navigation system for civil use. Besides indoor maps and indoor positioning technology, indoor routing algorithm is an important part of indoor navigation technology. This paper first discusses the problem of cross-storey in buildings and gives a solution. Unlike outdoor routing, shortest path is usually not the best path indoors, a personalized path considering user preference and interest can be better. To achieve personalized routing, this paper comes up with a way to model and acquire user preference. On this basis, this paper improves traditional A* algorithm by considering user preference and then gives an example to show the advantage of the personalized A* algorithm. The results show that the improved algorithm can find a better path by considering path length and user preference synthetically.

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Section: Personalized Routing Algorithmmentioning

confidence: 97%

Research on Personalized Indoor Routing Algorithm

Wei-jun

Guo

Qiu

2014

2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science

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“…ONALIN [7] provides routing for individuals with various needs and preferences; it takes the ADA (American Disability Act) standards, among other requirements, into consideration. Buildings are modeled as hallway networks, and feasible routes can be identified for users having specific constraints.…”

Section: Related Workmentioning

confidence: 99%

Indoor Navigation for Motion Disabled Persons in Medical Facilities

2017

APH

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“…Among them, object feature models mainly describe attributes and relationships of entities, which includes the UML-based IndoorML [4] and the entity-relationship based ONALIN model [5]. However, they cannot answer indoor distance or direction related query due to the lack of indoor geometrical features.…”

Section: Related Workmentioning

confidence: 99%

“…Besides, indoor positioning usually provides relative locations which need to consult the indoor geometry. Due to the specialty of indoor space, various kinds of indoor space data model have been presented in several domains, such as cognitive navigation services with object feature model [4,5], and the indoor space design and visualization using geometric models [6][7][8][9][10][11], and topological studies of indoor elements with symbolic models [12][13][14][15][16][17]. However, these model representations usually focus on their own domains, and cannot be directly applied to other applications fields.…”

Section: Introductionmentioning

confidence: 99%