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ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
13 years 10 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
13 years 10 months ago
A Practical Algorithm for Network Topology Inference
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
Dimitri Marinakis, Gregory Dudek
ICASSP
2011
IEEE
12 years 8 months ago
Sequential Monte Carlo Radio-Frequency tomographic tracking
Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequ...
Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
TWC
2010
12 years 11 months ago
Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks
Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently in wireless communication applications, such as cellular handset lo...
Kun Yan, Hsiao-Chun Wu, S. Sitharama Iyengar
JSAC
2010
146views more  JSAC 2010»
12 years 11 months ago
NLOS identification and mitigation for localization based on UWB experimental data
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Stefano Maranò, Wesley M. Gifford, Henk Wym...