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This paper proposes a Novel filtering algorithm for the general contact lens problem, where the measurement uncertainty region takes a thin, curved, contact lens-like shape in the states' Cartesian coordinates. Such problems have severe measurement nonlin-earity and will lead to consistency problems for existing nonlinear filtering techniques such as the extended Kalman filter (EKF) and the unscented...
This paper deals with the problem of cooperative tracking using large groups of sensor nodes. A Kalman filter-like estimator is implemented and tested for this purpose. The focus of this paper is to examine the effect of the sensor density in the monitored area on the accuracy of the tracking results. The work is mainly motivated by the fact that the target position information issued by a sensor...
Awareness of a vehicle's precise location in VANET is vital so that any vehicle can provide accurate data to its peers. Currently, typical localization techniques integrate the GPS receiver data and the measurements of the vehicle's motion. However, when the vehicle passes through an environment that creates multipath signals, these techniques fail to produce the high localization accuracy that they...
Based on the analysis of the standard Particle Swarm Optimization and the characteristic of typical multi-intersection for urban trunk road, a traffic flow forecasting model using dynamic recursion neural network is presented. The feature of this network is that the output of the hidden layer connects to the input of itself through the delay and storage of the context layer. The method of self-connection...
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