This year’s Student Innovation Challenge addresses the topic of analyzing sensor data in the Sensor Web and generating higher level information products. My research topic draws inspiration from smart city applications. To be more specific, IoT sensor web technologies and 3D city models play significant roles in building the smart city. I argued that most of the existing solutions to integrating 3D city models and sensor observations are usually customized and lack interoperability. Therefore, in order to improve the interoperability of smart city models, I conclude that the integration of the IoT sensor service and the 3D city model have to be based on open standards.
Plain GPS based recording for enviroCar – Final Blog Post
Introduction
Currently, the Android application for enviroCar can record tracks only when it is connected to the OBD-II adapter through Bluetooth. The enviroCar app will be of no use to the user, if he/she does not have a working OBD-II adapter or if Bluetooth is not working on the user’s mobile phone. This limits the usage of the app to a great extent. The main goal of this project is to add plain GPS-based recording of a track to the enviroCar Android application. This will increase the usability of the enviroCar app and simultaneously increase the collection of data on the enviroCar server. It is also equally important to automate the GPS-based track, for which Activity Recognition features can be used.
Providing information products from Sentinel-1 data via AWS
Students tackle challenge to create EO infrastructure on AWS.
In addition to his work at 52°North, Remke teaches and heads the research working group: Open Lab on Spatial Information Infrastructures at ifgi.
Plain GPS based recording for enviroCar – Mid Term Blog Post
Introduction
Currently, the Android application for enviroCar can record tracks only when it is connected to the OBD-II adapter through Bluetooth. The enviroCar app will be of no use to the user, if he/she does not have a working OBD-II adapter or if Bluetooth is not working on the user’s mobile phone. This limits the usage of the app to a great extent. The main goal of this project is to add plain GPS based recording of a track in the enviroCar Android application. This will increase the usability of the enviroCar app and simultaneously increase the collection of data in the enviroCar server, which can be used to analyze traffic. It is also equally important to automate the GPS based track, for which Activity Recognition features can be used. more >
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