Abstract | ||
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MMS (Mobile Mapping System) or mobile mapping is the process of collecting geospatial data from equipment such as laser scanners, cameras and global positioning system (GPS) typically mounted on a mobile vehicle. The MMS is capable of acquiring precise 3D position data including buildings, road shape, signs/marking, guardrails, characters printed on roads, manholes, and area surrounding the road. The 3D data is generated in the form of continuous data streams as the MMS vehicle moves and is primarily used for the generation of 3D DEMs (Digital Elevation Models), road models, building models, etc. The MMS 3D data stream contains a wealth of information and can be processed / queried continuously to obtain very useful information. For instance, continuously obtaining the total number of trees with certain height planted on road side within n kilometers, continuously getting the number of cars with certain properties for last m hours, etc. This paper presents our work-in-progress on the development of a framework for the real-time processing / continuous query processing over 3D data stream and highlight its importance and usage. |
Year | DOI | Venue |
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2018 | 10.1109/AIKE.2018.00050 | 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) |
Keywords | Field | DocType |
Mobile Mapping System, 3D Data Stream, Continuous Query, Lidar Data, Real time Processing, Continuous Object Detection | Geospatial analysis,Data stream mining,Mobile vehicle,Data stream,Computer science,Real-time computing,Digital elevation model,Global Positioning System,Lidar data,Mobile mapping | Conference |
ISBN | Citations | PageRank |
978-1-5386-9556-2 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Salman Ahmed Shaikh | 1 | 29 | 7.04 |
Akiyoshi Matono | 2 | 0 | 0.68 |
Kyoung-Sook Kim | 3 | 24 | 14.07 |