Azimuth based localization for mobile phones
Based on measured acceleration and compass data of smart phones a concept for GPS-free localization and traveling route estimation is presented. The built-in compass is used to measure the relative direction changes of the traveling user. The resulting azimuth trajectories are then successively matc...
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creator | Thomas, A. Geldmacher, J. Gotze, J. Coersmeier, E. |
description | Based on measured acceleration and compass data of smart phones a concept for GPS-free localization and traveling route estimation is presented. The built-in compass is used to measure the relative direction changes of the traveling user. The resulting azimuth trajectories are then successively matched to a vectorized street map. In order to relate the measured trajectory to the street map data, it has to be scaled correctly by the current user velocity. To estimate the current velocity, pattern matching is applied to the acceleration sensor data to detect the current means of transportation (MOT). By associating typical velocities with each MOT, a set of possible scaled azimuth trajectories can be found. |
doi_str_mv | 10.1109/ICL-GNSS.2011.5955272 |
format | Conference Proceeding |
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The built-in compass is used to measure the relative direction changes of the traveling user. The resulting azimuth trajectories are then successively matched to a vectorized street map. In order to relate the measured trajectory to the street map data, it has to be scaled correctly by the current user velocity. To estimate the current velocity, pattern matching is applied to the acceleration sensor data to detect the current means of transportation (MOT). By associating typical velocities with each MOT, a set of possible scaled azimuth trajectories can be found.</description><subject>Azimuth</subject><subject>Compass</subject><subject>Current measurement</subject><subject>Distortion measurement</subject><subject>Junctions</subject><subject>Mobile handsets</subject><subject>Trajectory</subject><issn>2325-0747</issn><isbn>9781457701863</isbn><isbn>1457701863</isbn><isbn>9781457701887</isbn><isbn>145770188X</isbn><isbn>9781457701870</isbn><isbn>1457701871</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj8tKw0AUQEesYGnzBSLkA0y8M3PntSxBayHoot2XmckNHUiaksSF_XoXduPqcDYHDmPPHErOwb3uqrrYfu73pQDOS-WUEkbcscwZy1EZA9xac__PtVywpZBCFWDQPLJsmlIAoaRCh3LJXjbX1H_Ppzz4iZq8G6Lv0tXPaTjn7TDm_RBSR_nlNJxpWrOH1ncTZTeu2OH97VB9FPXXdldt6iI5mAsDoHWjFcXgqdXSywYDimhRo9O6RYiBnDOagxAuegW24dYREqHnNsoVe_rLJiI6XsbU-_HneNuVv_ESRpc</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Thomas, A.</creator><creator>Geldmacher, J.</creator><creator>Gotze, J.</creator><creator>Coersmeier, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201106</creationdate><title>Azimuth based localization for mobile phones</title><author>Thomas, A. ; Geldmacher, J. ; Gotze, J. ; Coersmeier, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-70066d65ecbaef63a3d4b42c8464966f40cbe997610229ca508d189e4ee4a18c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Azimuth</topic><topic>Compass</topic><topic>Current measurement</topic><topic>Distortion measurement</topic><topic>Junctions</topic><topic>Mobile handsets</topic><topic>Trajectory</topic><toplevel>online_resources</toplevel><creatorcontrib>Thomas, A.</creatorcontrib><creatorcontrib>Geldmacher, J.</creatorcontrib><creatorcontrib>Gotze, J.</creatorcontrib><creatorcontrib>Coersmeier, E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thomas, A.</au><au>Geldmacher, J.</au><au>Gotze, J.</au><au>Coersmeier, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Azimuth based localization for mobile phones</atitle><btitle>2011 International Conference on Localization and GNSS (ICL-GNSS)</btitle><stitle>ICL-GNSS</stitle><date>2011-06</date><risdate>2011</risdate><spage>71</spage><epage>76</epage><pages>71-76</pages><issn>2325-0747</issn><isbn>9781457701863</isbn><isbn>1457701863</isbn><eisbn>9781457701887</eisbn><eisbn>145770188X</eisbn><eisbn>9781457701870</eisbn><eisbn>1457701871</eisbn><abstract>Based on measured acceleration and compass data of smart phones a concept for GPS-free localization and traveling route estimation is presented. The built-in compass is used to measure the relative direction changes of the traveling user. The resulting azimuth trajectories are then successively matched to a vectorized street map. In order to relate the measured trajectory to the street map data, it has to be scaled correctly by the current user velocity. To estimate the current velocity, pattern matching is applied to the acceleration sensor data to detect the current means of transportation (MOT). By associating typical velocities with each MOT, a set of possible scaled azimuth trajectories can be found.</abstract><pub>IEEE</pub><doi>10.1109/ICL-GNSS.2011.5955272</doi><tpages>6</tpages></addata></record> |
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ispartof | 2011 International Conference on Localization and GNSS (ICL-GNSS), 2011, p.71-76 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Azimuth Compass Current measurement Distortion measurement Junctions Mobile handsets Trajectory |
title | Azimuth based localization for mobile phones |
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