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Compressive mobile sensing for robotic mapping
2008
2008 IEEE International Conference on Automation Science and Engineering
Compressive sensing is an emerging research field based on the fact that a small number of linear measurements can recover a sparse signal under an orthogonal basis without losing any useful information. Using this approach, the signal can be recovered by a rate that is much lower than the requirement from the well-known Shannon sampling theory. In this paper, we propose a novel approach named compressive mobile sensing, which implements compressive sensing technique on a mobile sensor. This
doi:10.1109/coase.2008.4626560
dblp:conf/case/HuT08
fatcat:35ne5qmdm5cnnbbzlwc5ynnzje