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Artykuły w czasopismach na temat "Cartographie crowdsourcée"
Dodge, Martin, i Rob Kitchin. "Crowdsourced Cartography: Mapping Experience and Knowledge". Environment and Planning A: Economy and Space 45, nr 1 (styczeń 2013): 19–36. http://dx.doi.org/10.1068/a44484.
Pełny tekst źródłaGrove, Nicole Sunday. "The cartographic ambiguities of HarassMap: Crowdmapping security and sexual violence in Egypt". Security Dialogue 46, nr 4 (sierpień 2015): 345–64. http://dx.doi.org/10.1177/0967010615583039.
Pełny tekst źródłaBallatore, Andrea, i Peter Mooney. "Conceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography". International Journal of Geographical Information Science 29, nr 12 (6.08.2015): 2310–27. http://dx.doi.org/10.1080/13658816.2015.1076825.
Pełny tekst źródłaGkeli, M., C. Potsiou i C. Ioannidis. "DESIGN OF A CROWDSOURCED 3D CADASTRAL TECHNICAL SOLUTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (24.08.2020): 269–76. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-269-2020.
Pełny tekst źródłaCalvini-Lefebvre, Marc, Lucy Delap, Sarah Richardson i Claire Sorin-Delpuech. "Digital Humanities, Citizen Science and Feminist History: The Promise and Limits of Digital Mapping". Histoire sociale / Social History 56, nr 116 (listopad 2023): 453–70. http://dx.doi.org/10.1353/his.2023.a914572.
Pełny tekst źródłaAnderson, Cary. "Quantifying Emotion: Survey Methods and Sentiment Analysis in Cartographic Design Research". Abstracts of the ICA 1 (15.07.2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-8-2019.
Pełny tekst źródłaBrennan-Horley, Chris, Louisa Smith, Dennis Frost i Lyn Phillipson. "Getting People with Dementia onto the Map: Scaffolding Qualitative GIS". International Journal of Qualitative Methods 22 (styczeń 2023): 160940692311657. http://dx.doi.org/10.1177/16094069231165706.
Pełny tekst źródłaChow, T. Edwin. "Estimating the Crowd Size of a Rally by Crowdsourcing-Geocomputation". Abstracts of the ICA 1 (15.07.2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-46-2019.
Pełny tekst źródłaDodge, Martin, i Rob Kitchin. "Mapping Experience: Crowdsourced Cartography". SSRN Electronic Journal, 2011. http://dx.doi.org/10.2139/ssrn.1921340.
Pełny tekst źródłaQuinn, Sterling D., i Doran A. Tucker. "How geopolitical conflict shapes the mass-produced online map". First Monday, 31.10.2017. http://dx.doi.org/10.5210/fm.v22i11.7922.
Pełny tekst źródłaRozprawy doktorskie na temat "Cartographie crowdsourcée"
Stoven-Dubois, Alexis. "Robust Crowdsourced Mapping for Landmarks-based Vehicle Localization". Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2022. http://www.theses.fr/2022UCFAC116.
Pełny tekst źródłaThe deployment of intelligent and connected vehicles, equipped with increasingly sophisticated equipment, and capable of sharing accurate positions and trajectories, is expected to lead to a substantial improvement of road safety and traffic efficiency. For this safety gain to become effective, vehicles will have to be accurately geo-positioned in a common reference, with an error up to a few decimeters [1]. To achieve this, they will be able to count on a variety of embedded sensors, such as GNSS (Global Navigation Satellite Systems) receivers, as well as additional proprioceptive and perception sensors. Nevertheless, in order to guarantee accurate positioning in all conditions, including in dense zones where GNSS signals can get degraded by multi-path effects, it is expected that vehicles will need to use precise maps of the environment to support their localization algorithms.To build maps of the main highways, major automotive actors have made use of dedicated fleets of vehicles equipped with high-end sensors. Because of the associated high operational costs, they have been operating a limited number of vehicles, and remain unable to provide live updates of the maps and to register entire road networks. Crowdsourced mapping represents a cost-effective solution to this problem, and has been creating interest among automotive players. It consists in making use of measurements retrieved by multiple production vehicles equipped with standard sensors in order to build a map of landmarks. Nevertheless, while this approach appears promising, its real potential to build an accurate map of landmarks and maintain it up-to-date remains to be assessed in realistic, long-term scenarios.In this thesis, in a first time, we propose a crowdsourced mapping solution based on triangulation optimization, and evaluate it using field-tests. The result analysis shows the potential of crowdsourced mapping to take advantage from measurements issued by multiple vehicles. On the other hand, it also indicates some critical limitations associated with triangulation optimization.Therefore, in a second time, we propose another crowdsourced mapping solution based on graph optimization, and we introduce different approaches to include and update the map within the optimization, which correspond to different trade-offs between the map quality and computational scalability. Simulation experiments are conducted in order to compare the different approaches. The results enable to identify the most efficient one, and to assert that it provides a scalable solution for crowdsourced mapping.The robustness of this solution to various types of noises, such as auto-correlated and biased noises, is then evaluated using extended simulation tests. The results analysis show its ability to build an accurate map of landmarks in various noises conditions, making use of measurements retrieved by multiple vehicles. Subsequently, field-tests are performed to confirm the results obtained in simulation, and draw conclusions both from a theoretical and practical viewpoint. Finally, the capacity of our crowdsourced mapping solution to increase the localization capabilities of vehicles is evaluated in simulation. The results show the effectiveness of the proposed approach to improve positioning performances in various conditions, while also pointing out the importance of providing a map with a sufficient density of landmarks
Książki na temat "Cartographie crowdsourcée"
Foody, Giles, Peter Mooney, Cidália Costa Fonte, Ana Maria Olteanu Raimond, Steffen Fritz i Linda See, red. Mapping and the Citizen Sensor. London, United Kingdom: Ubiquity Press, 2017.
Znajdź pełny tekst źródłaMooney, Peter, Giles Foody i Linda See. Mapping and the Citizen Sensor. Saint Philip Street Press, 2020.
Znajdź pełny tekst źródłaCzęści książek na temat "Cartographie crowdsourcée"
Pődör, Andrea, i László Zentai. "Educational Aspects of Crowdsourced Noise Mapping". W Advances in Cartography and GIScience, 35–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57336-6_3.
Pełny tekst źródłaBallatore, Andrea, i Stefano De Sabbata. "Charting the Geographies of Crowdsourced Information in Greater London". W Lecture Notes in Geoinformation and Cartography, 149–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78208-9_8.
Pełny tekst źródłaIvanovic, Stefan S., Ana-Maria Olteanu-Raimond, Sébastien Mustière i Thomas Devogele. "Potential of Crowdsourced Traces for Detecting Updates in Authoritative Geographic Data". W Lecture Notes in Geoinformation and Cartography, 205–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14745-7_12.
Pełny tekst źródłaResch, Bernd, Anja Summa, Günther Sagl, Peter Zeile i Jan-Philipp Exner. "Urban Emotions—Geo-Semantic Emotion Extraction from Technical Sensors, Human Sensors and Crowdsourced Data". W Lecture Notes in Geoinformation and Cartography, 199–212. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11879-6_14.
Pełny tekst źródłaTruong, Quy Thy, Guillaume Touya i Cyril de Runz. "Building Social Networks in Volunteered Geographic Information Communities: What Contributor Behaviours Reveal About Crowdsourced Data Quality". W Lecture Notes in Geoinformation and Cartography, 125–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63946-8_25.
Pełny tekst źródłavon Reumont, Frederik. "Taking the Battle to Cyberspace : Delineating Borders and Mapping Identities in Western Sahara". W Media and Mapping Practices in the Middle East and North Africa. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462989092_ch03.
Pełny tekst źródłaStreszczenia konferencji na temat "Cartographie crowdsourcée"
Nobajas, Alexandre. "Targeted Crowdsourced Vectorisation of Historical Cartography". W International Workshop on Automatic Vectorisation of Historical Maps. Department of Cartography and Geoinformatics ELTE, 2020. http://dx.doi.org/10.21862/avhm2020.09.
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