27 search results - page 1 / 6 » Estimation from lossy sensor data: jump linear modeling and ... |
IPSN
2004
Springer
13 years 10 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
In this article, we investigate real-time estimation of flow states, average velocity and stage (water depth), in open channels using the measurements obtained from Lagrangian sens...
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— The paper studies the observability properties of the relative localization of two Autonomous Underwater Vehicles (AUVs) equipped with depth sensors, linear/angular velocity se...
IJSNET
2007
13 years 4 months ago
2007
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
ICRA
2005
IEEE
13 years 10 months ago
2005
IEEE
-In order to implement a continuous and robust dynamic localization of a mobile robot, the fusion of dead reckoning and absolute sensors is often used. Depending on the objectives ...