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Articulated Trajectory Mapping for Reviewing Walking Tours
http://hdl.handle.net/10295/00006248
http://hdl.handle.net/10295/0000624871ec4c11-78ec-49ce-98e1-61cadb7104d8
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||
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公開日 | 2023-02-23 | |||||||||||
タイトル | ||||||||||||
タイトル | Articulated Trajectory Mapping for Reviewing Walking Tours | |||||||||||
言語 | en | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
主題 | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | GPS | |||||||||||
主題 | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | trajectory | |||||||||||
主題 | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | articulation | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | simplification | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | characterization | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | tolerant distance buffering | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | reviewing post-tour activity | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | mobile mapping | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | location-based learning | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | walking tours | |||||||||||
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主題Scheme | Other | |||||||||||
主題 | data cleaning | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | open access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
作成者 |
Sasaki, Iori
× Sasaki, Iori
× Arikawa, Masatoshi
× Takahashi, Akinori
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内容記述 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | This paper addresses how to enrich a map-based representation for reviewing walking tours with the features of trajectory mapping and tracing animation. Generally, a trajectory generated by raw GPS data can often be difficult to browse through on a map. To resolve this issue, we first illustrated tangled trajectory lines, inaccurate indoor positioning, and unstable trajectory lines as problems encountered when mapping raw trajectory data. Then, we proposed a new framework that focuses on GPS horizontal accuracy to locate indoor location points and find stopping points on an accelerometer. We also applied a conventional line simplification algorithm to make the trajectory cleaner and then integrated the extracted points with the clean trajectory line. Furthermore, our experiments with some actual logs of walking tours demonstrated that articulated trajectory mapping, which comprises simplification and characterization methods, sufficiently reliable and effective for better reviewing experiences. The paper contributes to the research on cleaning up map-based displays and tracing animations of raw trajectory GPS data by using not only location data but also sensor data that smartphones can collect. | |||||||||||
言語 | en | |||||||||||
出版タイプ | ||||||||||||
出版タイプ | VoR | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
書誌情報 |
en : ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 巻 9, 号 10, 発行日 2020 |
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収録物識別子 | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 2220-9964 | |||||||||||
出版者 | ||||||||||||
出版者 | MDPI | |||||||||||
言語 | en | |||||||||||
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関連タイプ | isIdenticalTo | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.3390/ijgi9100610 | |||||||||||
権利情報 | ||||||||||||
権利情報 | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |