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enviroCar: A citizen science platform for analyzing and mapping crowd-sourced car sensor data / Arne Bröring in Transactions in GIS, vol 19 n° 3 (June 2015)  

Public [article]  inTransactions in GIS > vol 19 n° 3 (June 2015) . - pp 362 – 376 Titre : enviroCar: A citizen science platform for analyzing and mapping crowd-sourced car sensor data Type de document : Article/Communication Auteurs : Arne Bröring, Auteur ; Albert Remke, Auteur ; Christophe Stasch, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 362 – 376 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] acquisition de données [Termes IGN] capteur terrestre [Termes IGN] diagnostic [Termes IGN] données localisées des bénévoles [Termes IGN] interface web [Termes IGN] milieu urbain [Termes IGN] réseau de capteurs [Termes IGN] trafic routier [Termes IGN] véhicule automobile Résumé : (auteur) This article presents the enviroCar platform for collecting geographic data acquired from automobile sensors and openly providing those data for further processing and analysis. By plugging a low-cost On-Board Diagnostics (OBD-II) adapter into a car and using an Android smartphone, various kinds of sensor data measured by today's cars can be collected and uploaded on to the Web. Once available on the Web, these data can be used to monitor traffic and related environmental parameters. We analyse the OBD-II interface and its potential usage for environmental monitoring, e.g. to estimate fuel consumption and resulting inline image emissions, noise emission, and standing times. Next, we present the main contribution of this article, the system design of the enviroCar platform. This system design consists of the enviroCar app and the enviroCar server, which allows for flexible geoprocessing of the uploaded data. We focus in this article on the description of the spatiotemporal RESTful Web Service interface and underlying data model specifically designed for handling the mobile sensor data. Finally, we present application scenarios in which the enviroCar platform can act as a powerful tool, e.g. regarding traffic monitoring and smarter cities (e.g. the detection of pollutant emission hotspots in the city), or towards applications for a quantified self (e.g. monitoring fuel consumption). We started the enviroCar project in 2013 and have been able to attract a growing number of participants since then. In a crowd-funding initiative, enviroCar was successfully funded by volunteers, demonstrating the interest in this platform. Numéro de notice : A2015-678 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12155 En ligne : http://dx.doi.org/10.1111/tgis.12155 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78304 [article]

Using reverse viewshed analysis to assess the location correctness of visually generated VGI / Hansi Senaratne in Transactions in GIS, vol 17 n° 3 (June 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 3 (June 2013) . - pp 369 - 386 Titre : Using reverse viewshed analysis to assess the location correctness of visually generated VGI Type de document : Article/Communication Auteurs : Hansi Senaratne, Auteur ; Arne Bröring, Auteur ; Tobias Schreck, Auteur Année de publication : 2013 Article en page(s) : pp 369 - 386 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] données localisées des bénévoles [Termes IGN] évaluation des données [Termes IGN] géobalise [Termes IGN] géopositionnement [Termes IGN] image numérique [Termes IGN] point de repère [Termes IGN] système d'information géographique Résumé : (Auteur) With the increased availability of user generated data, assessing the quality and credibility of such data becomes important. In this article, we propose to assess the location correctness of visually generated Volunteered Geographic Information (VGI) as a quality reference measure. The location correctness is determined by checking the visibility of the point of interest from the position of the visually generated VGI (observer point); as an example we utilize Flickr photographs. Therefore we first collect all Flickr photographs that conform to a certain point of interest through their textual labelling. Then we conduct a reverse viewshed analysis for the point of interest to determine if it lies within the area of visibility of the observer points. If the point of interest lies outside the visibility of a given observer point, the respective geotagged image is considered to be incorrectly geotagged. In this way, we analyze sample datasets of photographs and make observations regarding the dependency of certain user/photo metadata and (in)correct geotags and labels. In future, the dependency relationship between the location correctness and user/photo metadata can be used to automatically infer user credibility. In other words, attributes such as profile completeness, together with location correctness, can serve as a weighted score to assess credibility. Numéro de notice : A2013-289 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12040 Date de publication en ligne : 28/05/2013 En ligne : https://doi.org/10.1111/tgis.12040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32427 [article]