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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and temporally high resolved data are especially gathered via the Internet of Things. This data can often be accessed as data streams that push new data tuples conti...
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Lijun Wang, Linshu Hu, Chenhua Fu, Yuhan Yu, Peng Tang, Feng Zhang and Renyi Liu
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices. The current update strategies of spatial learned indices can only solve limited updates ...
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Zilin Zhao, Yuanying Chi, Zhiming Ding, Mengmeng Chang and Zhi Cai
Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow ...
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Zhangang Wang
The application of AR to explore augmented map representation has become a research hotspot due to the growing application of AR in maps and geographic information in addition to the rising demand for automated map interpretation. Taking the AR map as th...
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Abubakar Ahmad Musa, Adamu Hussaini, Weixian Liao, Fan Liang and Wei Yu
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and computational elements into physical processes to facilitate the control of physical systems and effective monitoring. The systems are designed to interact with the ...
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