Spatio-Temporal visualization of automotive sensor data — A conceptual and implementational framework
Patrick Voland · 2017 IEEE Region 10 Symposium (TENSYMP) · 2017
Modern automotive vehicles with their included sensors, recording environmental parameters and also a multitude of car- and traffic-related data have developed into complex mobile systems in the time of Internet of Things and Big Data. These data recorded can be characterized as “spatio-temporal” by their nature and can, thus, be classified as “geodata”, which enables comprehensive analysis and visualizations. Their geospatial and application-related potential has, however, not been fully unlocked so far. This paper deals with the ongoing research on these new kinds of massive geodata. A feasibility is presented to process and visualize these data for context-sensitive usage. Cartographic visualization is a particularly effective method in order to make use of the huge amount of the machine produced data, to explore and analyze them.