&lt;title&gt;Sensor management using the decentralized Kalman filter&lt;/title&gt;

Greenway, Phil; Deaves, Rob H.

doi:10.1117/12.189056

Cited by 6 publications

(2 citation statements)

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“…to which objects at every instant for achieving best possible accurate state estimates of the environment. So far allocating sensors across targets has been mainly treated as an optimization problem in choosing sensor-to-target associations based on an objective function constructed beforehand in terms of entropy-based information metrics (Schmaedeke 1993;Schmaedeke and Kastella 1998;Dodin et al 2000) or the expected overall utility (Greenway and Deaves 1994;Dodin and Nimier 2001) of a sensing plan.…”

Section: Simultaneous Tracking Of Multiple Targets Entails Decisions ...mentioning

confidence: 99%

Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion

Xiong

Christensen

Svensson

2007

Cybernetics and Systems

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Dealing with conflicting and target-specific requirements is an important issue in multi-sensor and multi-target tracking. This paper aims to allocate sensing resources among various targets in reaction to individual information requests. The approach proposed is to introduce agents for every relevant target responsible for its tracking. Such agents are expected to bargain with each other for a division of resources. A bilateral negotiation model is established for resource allocation in twotarget tracking. The applications of agent negotiation to target covariance tuning are illustrated together with simulation results presented. Moreover, we suggest a way of organizing simultaneous one-to-one negotiations, making our negotiation model still applicable in scenarios of tracking more than two targets.

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Section: Simultaneous Tracking Of Multiple Targets Entails Decisions ...mentioning

confidence: 99%

Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion

Xiong

Christensen

Svensson

2007

Cybernetics and Systems

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show abstract

“…These algorithms are programmed in OCCAM and run on transputer processors. The DFTB has been used to investigate a variety of data fusion issues, which include information fusion and sensor management [12] [13].…”

Section: Dealing With Bandwidth Constraintmentioning

confidence: 99%

Communications management in decentralised data fusion systems

Greenway¹,

Deaves²,

Bull³

1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242)

<title>Sensor management using the decentralized Kalman filter</title>

Cited by 6 publications

References 0 publications

Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion

Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion

Communications management in decentralised data fusion systems

Sensor management – what, why and how

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