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CrowdAbout: Using Vehicles as Sensors to Improve Map Data for ITS

Roth, Christian ; Ngoc, Thanh-Dinh ; Kesdogan, Dogan



Abstract

Crowdsourcing can be seen as an opportunity to provide important information for Intelligent Transportation Systems to improve the service quality of various applications in this domain. Autonomous or assisted vehicles need the most accurate map data possible to adjust the respective assistants to it. In this work, we present CrowdAbout, a system that uses the crowd as mobile sensors to collect ...

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