Compressive mobile sensing for robotic mapping

Sheng Hu, Jindong Tan
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
more » ... roach employs one mobile sensor or multiple sensors to reconstruct the sensing fields in an efficient way. Moreover, a special measurement process has been built under the constraint of the mobile sensors. It is also presented the simulation and experimental results of a robotic mapping problem using compressive mobile sensing.
doi:10.1109/coase.2008.4626560 dblp:conf/case/HuT08 fatcat:35ne5qmdm5cnnbbzlwc5ynnzje