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» Utility-Driven Spatiotemporal Sampling Using Mobile Sensors
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ROBOCOMM
2007
IEEE
14 years 1 months ago
Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience
— Consider the following scenario: a spatio-temporal stochastic process generates service requests, localized at points in a bounded region on the plane; these service requests a...
Marco Pavone, Nabhendra Bisnik, Emilio Frazzoli, V...
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
14 years 2 months ago
Path planning for data assimilation in mobile environmental monitoring systems
— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile ...
Franz S. Hover
CORR
2004
Springer
142views Education» more  CORR 2004»
13 years 7 months ago
Dynamic Localization Protocols for Mobile Sensor Networks
The ability of a sensor node to determine its physical location within a network (Localization) is of fundamental importance in sensor networks. Interpretating data from sensors i...
Sameer Tilak, Vinay Kolar, Nael B. Abu-Ghazaleh, K...
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
KDD
2010
ACM
208views Data Mining» more  KDD 2010»
13 years 6 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...