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Documents authored by Mustière, Sébastien

Document
DOI: 10.4230/LIPIcs.GISCIENCE.2018.11
Detection and Localization of Traffic Signals with GPS Floating Car Data and Random Forest

Authors: Yann Méneroux, Hiroshi Kanasugi, Guillaume Saint Pierre, Arnaud Le Guilcher, Sébastien Mustière, Ryosuke Shibasaki, and Yugo Kato

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
As Floating Car Data are becoming increasingly available, in recent years many research works focused on leveraging them to infer road map geometry, topology and attributes. In this paper, we present an algorithm, relying on supervised learning to detect and localize traffic signals based on the spatial distribution of vehicle stop points. Our main contribution is to provide a single framework to address both problems. The proposed method has been experimented with a one-month dataset of real-world GPS traces, collected on the road network of Mitaka (Japan). The results show that this method provides accurate results in terms of localization and performs advantageously compared to the OpenStreetMap database in exhaustivity. Among many potential applications, the output predictions may be used as a prior map and/or combined with other sources of data to guide autonomous vehicles.
Cite as

Yann Méneroux, Hiroshi Kanasugi, Guillaume Saint Pierre, Arnaud Le Guilcher, Sébastien Mustière, Ryosuke Shibasaki, and Yugo Kato. Detection and Localization of Traffic Signals with GPS Floating Car Data and Random Forest. In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 11:1-11:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{meneroux_et_al:LIPIcs.GISCIENCE.2018.11,
  author =	{M\'{e}neroux, Yann and Kanasugi, Hiroshi and Saint Pierre, Guillaume and Le Guilcher, Arnaud and Musti\`{e}re, S\'{e}bastien and Shibasaki, Ryosuke and Kato, Yugo},
  title =	{{Detection and Localization of Traffic Signals with GPS Floating Car Data and Random Forest}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{11:1--11:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.11},
  URN =		{urn:nbn:de:0030-drops-93397},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.11},
  annote =	{Keywords: Map Inference, Machine Learning, GPS Traces, Traffic Signal}
}
Document
DOI: 10.4230/DagSemProc.09161.1
09161 Abstracts Collection – Generalization of spatial information

Authors: Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)

Abstract
From 13.04. to 17.04.2009, the Dagstuhl Seminar 09161 ``Generalization of spatial information '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom. 09161 Abstracts Collection – Generalization of spatial information. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{mustiere_et_al:DagSemProc.09161.1,
  author =	{Musti\`{e}re, S\'{e}bastien and Sester, Monika and van Harmelen, Frank and van Oosterom, Peter},
  title =	{{09161 Abstracts Collection – Generalization of spatial information }},
  booktitle =	{Generalization of spatial information},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.1},
  URN =		{urn:nbn:de:0030-drops-21506},
  doi =		{10.4230/DagSemProc.09161.1},
  annote =	{Keywords: Spatial information, generalization, aggregation, web services, formal semantics, geo-ontology, user context, constraint specification, progressive data transfer, computational geometry, cartography, mobile systems}
}
Document
DOI: 10.4230/DagSemProc.09161.2
09161 Summary – Generalization of spatial information

Authors: Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom

Published in: Dagstuhl Seminar Proceedings, Volume 9161, Generalization of spatial information (2009)

Abstract
From the early start of handling geo-information in a digital environments, it has been attempted to automate the process of generalization of geographic information. Traditionally for the production of different map scale series, but more and more also in other contexts, such as the desktop/web /mobile use of geo-information, in order to allow to process, handle and understand possibly huge masses of data. Generalization is the process responsible for generating visualizations or geographic databases at coarser levels-of-detail than the original source database, while retaining essential characteristics of the underlying geographic information.
Cite as

Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom. 09161 Summary – Generalization of spatial information. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{mustiere_et_al:DagSemProc.09161.2,
  author =	{Musti\`{e}re, S\'{e}bastien and Sester, Monika and van Harmelen, Frank and van Oosterom, Peter},
  title =	{{09161 Summary – Generalization of spatial information }},
  booktitle =	{Generalization of spatial information},
  pages =	{1--20},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.2},
  URN =		{urn:nbn:de:0030-drops-21397},
  doi =		{10.4230/DagSemProc.09161.2},
  annote =	{Keywords: Spatial information, generalization, aggregation, web services, formal semantics, geo-ontology, user context, constraint specification, progressive data transfer, computational geometry, cartography, mobile systems}
}
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