[HTML][HTML] Orbit determination for space situational awareness: A survey
The rapidly growing number of objects encircling our planet is an increasing concern.
Collisions between these objects have already occurred and pose a potential threat in the …
Collisions between these objects have already occurred and pose a potential threat in the …
Distributed data fusion: Neighbors, rumors, and the art of collective knowledge
ME Campbell, NR Ahmed - IEEE Control Systems Magazine, 2016 - ieeexplore.ieee.org
Distributed data fusion (DDF) is the process whereby a group of agents sense their local
environment, communicate with other agents, and collectively try to infer knowledge about a …
environment, communicate with other agents, and collectively try to infer knowledge about a …
Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks
S Bandyopadhyay, SJ Chung - Automatica, 2018 - Elsevier
Abstract The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the
problem of tracking a target dynamic model using a time-varying network of heterogeneous …
problem of tracking a target dynamic model using a time-varying network of heterogeneous …
Multi-agent algorithms for collective behavior: A structural and application-focused atlas
The goal of this paper is to provide a survey and application-focused atlas of collective
behavior coordination algorithms for multi-agent systems. We survey the general family of …
behavior coordination algorithms for multi-agent systems. We survey the general family of …
Homogeneous functionals and Bayesian data fusion with unknown correlation
CN Taylor, AN Bishop - Information Fusion, 2019 - Elsevier
Abstract Information or data fusion concerns the aggregation, or combination, of probability
measures. For example, in machine learning, statistics and signal processing, one may seek …
measures. For example, in machine learning, statistics and signal processing, one may seek …
Arithmetic average density fusion-Part I: Some statistic and information-theoretic results
Finite mixture such as the Gaussian mixture is a flexible and powerful probabilistic modeling
tool for representing the multimodal distribution widely involved in many estimation and …
tool for representing the multimodal distribution widely involved in many estimation and …
Some statistic and information-theoretic results on arithmetic average density fusion
Finite mixture such as the Gaussian mixture is a flexible and powerful probabilistic modeling
tool for representing the multimodal distribution widely involved in many estimation and …
tool for representing the multimodal distribution widely involved in many estimation and …
A Distributed Bayesian Data Fusion Algorithm with Uniform Consistency
Distributed Data Fusion (DDF) methods which possess guaranteed performance for ad-hoc
and arbitrarily connected networks empower more scalable, flexible and robust information …
and arbitrarily connected networks empower more scalable, flexible and robust information …
Factorized covariance intersection for scalable partial state decentralized data fusion
We propose a new conditionally factorized covariance intersection (CI) algorithm for
performing partial state decentralized data fusion (DDF). This is relevant for sensor networks …
performing partial state decentralized data fusion (DDF). This is relevant for sensor networks …
Communication efficient decentralized Gaussian process fusion for multi-UAS path planning
R Allamraju, G Chowdhary - 2017 American Control …, 2017 - ieeexplore.ieee.org
We present a decentralized, communication efficient method for joint sensing and learning
(regression) of spatiotemporal phenomena using a team of autonomous networked sensing …
(regression) of spatiotemporal phenomena using a team of autonomous networked sensing …