Hirokazu Iida, Kei Hiroi, K. Kaji, Nobuo Kawaguchi
We propose Landmark-Conscious Voice Navigation as one type of a pedestrian navigation system, which navigate users by only voice guidance. It is necessary to standardize data model in order to use this system widely. In a previous paper[1], we constructed a basic voice navigation system, which uses Open Street Map based data model. In this paper, at first, we conduct an experiment of voice navigation at an underground shopping area of Nagoya Station with two types of landmark descriptions. After that, we discuss what data structure is necessary to describe landmark information for voice navigation. Therefore, we propose to extend IndoorGML1.0 by adding landmark space as a new defined data model for voice navigation. The main contribution of this paper is that we conduct an experiment of voice navigation and research how different landmark descriptions affect users; furthermore, we discuss a IndoorGML extended data model for voice navigation.
我们提出地标意识语音导航作为一种行人导航系统，它仅通过语音引导为用户导航。为了使该系统得到广泛应用，有必要对数据模型进行标准化。在之前的论文[1]中，我们构建了一个基于Open Street Map数据模型的基本语音导航系统。本文首先在名古屋车站地下购物区进行了语音导航实验，采用两种类型的地标性描述。在此之后，我们讨论了什么样的数据结构是必要的，以描述语音导航的地标信息。因此，我们建议对IndoorGML1.0进行扩展，增加地标空间作为语音导航的新定义数据模型。本文的主要贡献在于进行了语音导航实验，研究了不同地标描述对用户的影响;此外，我们还讨论了用于语音导航的IndoorGML扩展数据模型。
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Recently two standards - OGC CityGML [1] and OGC IndoorGML [2] - have been developed by the Open Geospatial Consortium(OGC) [3] for the interoperability between services and reusability of indoor maps. Although CityGML and IndoorGML provide frameworks of standard data models for indoor spaces, the goals and approaches of these standards are different and they can be used in a complementary way. This paper therefore aims to study their strengths and weakness, clarify which standard to be used for different types of applications, and explain how to integrate them to make useful applications. This work is based on the experiments of two real sites in Seoul; a shopping mall at Lotte World Mall and a subway station in Seoul. The comparative study is conducted from the representation and application viewpoints respectively.
{"title":"Comparison between two OGC standards for indoor space: CityGML and IndoorGML","authors":"H. Ryoo, Taehoon Kim, Ki-Joune Li","doi":"10.1145/2834812.2834813","DOIUrl":"https://doi.org/10.1145/2834812.2834813","url":null,"abstract":"Recently two standards - OGC CityGML [1] and OGC IndoorGML [2] - have been developed by the Open Geospatial Consortium(OGC) [3] for the interoperability between services and reusability of indoor maps. Although CityGML and IndoorGML provide frameworks of standard data models for indoor spaces, the goals and approaches of these standards are different and they can be used in a complementary way. This paper therefore aims to study their strengths and weakness, clarify which standard to be used for different types of applications, and explain how to integrate them to make useful applications. This work is based on the experiments of two real sites in Seoul; a shopping mall at Lotte World Mall and a subway station in Seoul. The comparative study is conducted from the representation and application viewpoints respectively.","PeriodicalId":345028,"journal":{"name":"Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114217957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A linear mapping is a technique that stores objects with multi-dimensional properties in data storage in a certain order. The mapping aims at preserving spatial locality, which means that objects in the same cluster are likely to be accessed together. Locality is a crucial property to improve performance of accessing data. The level of efficiency of a linear mapping relies on distance metric. Existing linear mapping techniques such as Hilbert curve may maximize their efficiency in Euclidean space. For linear mapping, objects in indoor spaces should be dealt with in a different manner because distance measurement in indoor space differs from that in Euclidean space. In this paper, we specify requirements of linear mappings in indoor space and suggest a linear mapping based on heuristics for indoor space objects.
{"title":"Linear mapping for indoor spatial objects","authors":"Joon-Seok Kim","doi":"10.1145/2834812.2834815","DOIUrl":"https://doi.org/10.1145/2834812.2834815","url":null,"abstract":"A linear mapping is a technique that stores objects with multi-dimensional properties in data storage in a certain order. The mapping aims at preserving spatial locality, which means that objects in the same cluster are likely to be accessed together. Locality is a crucial property to improve performance of accessing data. The level of efficiency of a linear mapping relies on distance metric. Existing linear mapping techniques such as Hilbert curve may maximize their efficiency in Euclidean space. For linear mapping, objects in indoor spaces should be dealt with in a different manner because distance measurement in indoor space differs from that in Euclidean space. In this paper, we specify requirements of linear mappings in indoor space and suggest a linear mapping based on heuristics for indoor space objects.","PeriodicalId":345028,"journal":{"name":"Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122226105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, describes some of the results of the i-locate project, the EC funded project on indoor and outdoor location based services, which has developed, among other tools, a plug-in for JOSM which supports IndoorGML.
{"title":"The IndoorGML plug-in for JOSM","authors":"Martino Salvetti, Ki-Joune Li, G. Conti","doi":"10.1145/2834812.2834816","DOIUrl":"https://doi.org/10.1145/2834812.2834816","url":null,"abstract":"In this paper, describes some of the results of the i-locate project, the EC funded project on indoor and outdoor location based services, which has developed, among other tools, a plug-in for JOSM which supports IndoorGML.","PeriodicalId":345028,"journal":{"name":"Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126150692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","authors":"","doi":"10.1145/2834812","DOIUrl":"https://doi.org/10.1145/2834812","url":null,"abstract":"","PeriodicalId":345028,"journal":{"name":"Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127253779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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