Gaussian process decentralized data fusion and active sensing for spatiotemporal traffic modeling and prediction in mobility-on-demand systems
Mobility-on-demand (MoD) systems have recently emerged as a promising paradigm of one-
way vehicle sharing for sustainable personal urban mobility in densely populated cities. We …
way vehicle sharing for sustainable personal urban mobility in densely populated cities. We …
Consensus labeled random finite set filtering for distributed multi-object tracking
This paper addresses distributed multi-object tracking over a network of heterogeneous and
geographically dispersed nodes with sensing, communication and processing capabilities …
geographically dispersed nodes with sensing, communication and processing capabilities …
[图书][B] Networked filtering and fusion in wireless sensor networks
MS Mahmoud, Y Xia - 2015 - api.taylorfrancis.com
In recent years, wireless sensor networks (WSN) have produced a large amount of data that
need to be processed, delivered, and assessed according to the application objectives. The …
need to be processed, delivered, and assessed according to the application objectives. The …
[图书][B] Modeling and optimization of parallel and distributed embedded systems
This book introduces the state-of-the-art in research in parallel and distributed embedded
systems, which have been enabled by developments in silicon technology, micro-electro …
systems, which have been enabled by developments in silicon technology, micro-electro …
Distributed widely linear multiple-model adaptive estimation
A Mohammadi, KN Plataniotis - IEEE Transactions on Signal …, 2015 - ieeexplore.ieee.org
The paper considers the problem of estimating the state of a complex-valued stochastic
hybrid system observed distributively using an agent/sensor network (AN/SN) with complex …
hybrid system observed distributively using an agent/sensor network (AN/SN) with complex …
Linear theory for self-localization: Convexity, barycentric coordinates, and cayley–menger determinants
Localization, finding the coordinates of an object with respect to other objects with known
coordinates-hereinafter, referred to as anchors, is a nonlinear problem, as it involves solving …
coordinates-hereinafter, referred to as anchors, is a nonlinear problem, as it involves solving …
Particle routing in distributed particle filters for large-scale spatial temporal systems
Particle filters are important techniques to support data assimilation for large-scale spatial
temporal simulation systems. Distributed particle filters improve the performance of particle …
temporal simulation systems. Distributed particle filters improve the performance of particle …
Distributed spatio-temporal association and tracking of multiple targets using multiple sensors
G Ren, V Maroulas, I Schizas - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The problem of tracking multiple targets using nonlinear observations acquired at multiple
sensors is addressed by combining particle filtering (PF) with sparse matrix decomposition …
sensors is addressed by combining particle filtering (PF) with sparse matrix decomposition …
Energy-efficient distributed target tracking in wireless video sensor networks
W Fang, DH Wang, Y Wang - International Journal of Wireless Information …, 2015 - Springer
In order to prolong the lifetime of wireless video sensor networks (WVSNs), many methods
for visual target tracking are proposed to reduce the energy cost of battery-powered video …
for visual target tracking are proposed to reduce the energy cost of battery-powered video …
Error propagation in gossip-based distributed particle filters
This paper examines the impact of the gossip procedure on distributed particle filters that
employ averaging to estimate the global likelihood function. We consider a model where a …
employ averaging to estimate the global likelihood function. We consider a model where a …