Schweizer, Immanuel ; Bärtl, Roman ; Schulz, Axel ; Probst, Florian ; Mühlhäuser, Max
Hrsg.: Microsoft Research 8170 (2011)
NoiseMap - Real-time participatory noise maps.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Noise pollution is a problem increasingly acknowledged by authorities and governments around the globe. However, creating noise maps with conventional methods is either inaccurate or very expensive. To increase the spatial and temporal data resolution a high number of sensors must be deployed. In this paper we present results and prototypes based on participatory sensing leading to accurate, real-time noise maps. First we present NoiseMap a application currently released for Android phones. NoiseMap gathers data on loudness and transfers it to the open urban sensing platform da sense. da sense allows users to access and control their data, generate real-time noise maps and data graphs. Public data is made available using either a web service or a JavaScript API.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2011 |
Autor(en): | Schweizer, Immanuel ; Bärtl, Roman ; Schulz, Axel ; Probst, Florian ; Mühlhäuser, Max |
Art des Eintrags: | Bibliographie |
Titel: | NoiseMap - Real-time participatory noise maps |
Sprache: | Englisch |
Publikationsjahr: | November 2011 |
Buchtitel: | Second International Workshop on Sensing Applications on Mobile Phones |
Kurzbeschreibung (Abstract): | Noise pollution is a problem increasingly acknowledged by authorities and governments around the globe. However, creating noise maps with conventional methods is either inaccurate or very expensive. To increase the spatial and temporal data resolution a high number of sensors must be deployed. In this paper we present results and prototypes based on participatory sensing leading to accurate, real-time noise maps. First we present NoiseMap a application currently released for Android phones. NoiseMap gathers data on loudness and transfers it to the open urban sensing platform da sense. da sense allows users to access and control their data, generate real-time noise maps and data graphs. Public data is made available using either a web service or a JavaScript API. |
Freie Schlagworte: | - SCS (Smart Civil Security);Secure Data |
ID-Nummer: | TUD-CS-2011-0230 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt |
Hinterlegungsdatum: | 31 Dez 2016 12:59 |
Letzte Änderung: | 14 Jun 2021 06:14 |
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