Article in Proceedings INPROC-2018-29

BibliographyAbdelaal, Mohamed; Reichelt, Daniel; Duerr, Frank; Rothermel, Kurt; Runceanu, Lavinia; Becker, Susanne; Dieter, Fritsch: ComNSense: Grammar-Driven Crowd-Sourcing of Point Clouds for Automatic Indoor Mapping.
In: Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018), PACM IMWUT Issue 1, October 2018..
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-26, english.
Singapore: ACM, October 12, 2018.
Article in Proceedings (Conference Paper).
CR-SchemaC.3 (Special-Purpose and Application-Based Systems)
KeywordsIndoor Mapping; Crowdsensing; 3D Point Clouds; Energy Efficiency; Formal Grammars
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Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Project(s)ComNSense
Entry dateOctober 5, 2018
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