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检索条件"任意字段=Conference on Sensor Fusion and Distributed Robotic Agents"

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Multi-sensor 3D image fusion and interactive search

Multi-sensor 3D image fusion and interactive search

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3rd International conference on Information fusion, fusion 2000

作者： Ross, W.D. Waxman, A.M. Streilein, W.W. Aguiiar, M. Verly, J. Liu, F. Braun, M.I. Harmon, P. Rak, S. Massachusetts Institute of Technology Lincoln Laboratory Lexington MA 02420 United States MCIS Department Jacksonville State University Jacksonville AL 36265 United States

ISBN: (纸本)2725700000

We describe a system under development for the 3D fusion of multi-sensor surface surveillance imagery, including electro-optical (EO), IR, SAR, multispectral and hyperspectral sources. Our approach is founded on biologically-inspired image processing algorithms. We have developed an image processing architecture enabling the unified interactive visualization of fused multi-sensor site data which utilizes a color image fusion algorithm based on retinal and cortical processing of color. We have also developed interactive Web-based tools for training neural network search agents that are capable of automatically scanning site data for the fused multi-sensor signatures of targets and/or surface features of interest. Each search agent is an interactively trained instance of a neural network model of cortical pattern recognition called a fuzzy ARTMAP. The utilization of 3D site models is central to our approach because it enables the accurate multi-platform image registration that is necessary for color image fusion and the designation, learning and searching for multi-sensor fused pixel signatures. Interactive stereo 3D viewing and fly-through tools enable efficient and intuitive site exploration and analysis. Web-based remote visualization and search agent training and utilization tools facilitate rapid, distributed and collaborative site exploitation and dissemination of results. © 2000 Int. Soc. Inf. fusion.

关键词： Image fusion

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A multi-agent infrastructure for hard and soft information fusion

A multi-agent infrastructure for hard and soft information f...

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conference on Defense Transformation and Net-Centric Systems

作者： Rimland, Jeffrey C. Hall, David L. Penn State Univ Coll IST University Pk PA 16802 USA

ISBN: (纸本)9780819486363

Current needs in tactical situational awareness require a new type of infrastructure to encode, transmit, store, fuse, and display vastly heterogeneous data that may include "hard" sensor types including video, radar, multispectral, acoustic sensor array, 3D flash LIDAR, and "soft" sensor inputs such as textual reports from trained and untrained personnel, unsolicited and solicited open source web information, and hybrid "hard/soft" data such as human-annotated image or video data - which can be highly useful, but difficult to categorize and exploit. While the demand for scalability, rapid deployment, and decentralized access to data and services grows, the need for data security and integrity is as critical as ever. Methods for handling the conflicting needs between access and security are addressed. Furthermore, the evolving role of humans in data fusion systems must be addressed by the infrastructure. In addition to systems enhancing human data analysis capabilities through advanced visualization and sonification techniques, the data itself is more likely to contain information about humans - which is not always a task well suited to conventional data storage and retrieval methods. This paper describes a multi-agent approach to designing a secure, distributed, service-oriented infrastructure to support human-centric hard and soft information fusion.

关键词： hard and soft fusion multi-agent human-in-the-loop humans as sensors hybrid agents hybrid cognition SOA ESB

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Tea table, come closer to me

Tea table, come closer to me

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4th ACM/IEEE International conference on Human-Robot Interaction, HRI'09

作者： Enti, Vikas Reddy Arumugam, Rajesh Baskaran, Krishnamoorthy Bingbing, Liu Kong, Foong Foo Kumar, A.Senthil Meng, Kang Dee Waikit, Goh Xiaojun, Wu STAR Data Storage Institute Singapore Singapore

ISBN: (纸本)9781605584041

We present a new concept (named DA vinCi) of distributed agents, sensor networks and an intelligent server catered to the home environment. Instead of a single multi-tasking human-like robot, we propose a team of networked task-specific robotic agents that interface with each other and the environment through a spatial map built by the server. We also highlight how our server will be a proxy for all the human-robot interactions (HRI) in the system and discuss the challenges involved. The paper's title captures the jist of our system where even a tea table can be inexpensively mobilized and interacted with via the DA vinCi *** is held by the author/owner(s).

关键词： sensor networks

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Target Tracking with distributed sensors: The Focus of Attention Problem

Target Tracking with Distributed Sensors: The Focus of Atten...

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2003 IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Isler, Volkan Spletzer, John Khanna, Sanjeev Taylor, C.J. Department of Computer Science University of Pennsylvania Philadelphia PA 19104

In this paper, we investigate data fusion techniques for target tracking using distributed sensors. Specifically, we are interested in how pairs of bearing or range sensors can be best assigned to targets in order to minimize the expected error in the estimates. We refer to this as the focus of attention (FOA) problem. In its general form, FOA is NP-hard and not well approximable. However, for specific geometries we obtain significant approximation results: a 2-approximation algorithm for stereo cameras on a line, a PTAS for when the cameras are equidistant, and a 1.42 approximation for equally spaced range sensors on a circle. By reposing as a maximization problem - where the goal is to maximize the number of tracks with bounded error - we are able to leverage results from maximum set-packing to render the problem approximable. We demonstrate the results in simulation for a target tracking task, and for localizing a team of mobile agents in a sensor network. These results provide insights into sensor/target assignment strategies, as well as sensor placement in a distributed network.

关键词： robotics

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distributed active-camera control architecture based on multi-agent systems

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Highlights on Practical Applications of agents and Multi-Agent Systems - 10th International conference on Practical Applications of agents and Multi-Agent Systems

作者： Bustamante, Alvaro Luis Molina, José M. Patricio, Miguel A. Universidad Carlos III de Madrid Avda. de la Universidad Carlos III 22 28270 Colmenarejo Madrid Spain

ISBN: (纸本)9783642287619

In this contribution a Multi-Agent System architecture is proposed to deal with the management of spatially distributed heterogeneous nets of sensors, specially is described the problem of Pan-Tilt-Zoom or active cameras. The design of surveillance multi-sensor systems implies undertaking to solve two related problems: data fusion and coordinated sensor-task management. Generally, proposed architectures for the coordinated operation of multiple sensors are based on centralization of management decisions at the fusion center. However, the existence of intelligent sensors capable of taking decisions brings the possibility of conceiving alternative decentralized architectures. This problem could be approached by means of a Multi-Agent System (MAS). In specific, this paper proposes a MAS architecture for automatically control sensors in video surveillance environments. © 2012 Springer-Verlag.

关键词： Multi agent systems

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Generalized Coverage Control for Time-Varying Density Functions 18

Generalized Coverage Control for Time-Varying Density Functi...

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18th European Control conference (ECC)

作者： Kennedy, James Chapman, Airlie Dower, Peter M. Univ Melbourne Dept Mech Engn Melbourne Vic Australia Univ Melbourne Dept Elect & Elect Engn Melbourne Vic Australia

ISBN: (纸本)9783907144008

The coverage control problem for robotic networks focuses on distributively coordinating the positioning of multiple dynamic agents to provide sensor coverage across a bounded region in two dimensional space. The associated optimal coverage problem seeks to position these agents so as to minimize an associated coverage cost. This coverage cost is typically defined with respect to a density function that is used to bias the network towards desired configurations. Previous approaches to this optimal coverage problem have addressed both static and dynamic environments through the choice of density function;however, stability guarantees for time-varying densities are restricted by significant technical assumptions that simplify the underlying proofs at the expense of limited applicability. In this paper, a generalized algorithm is presented that guarantees practical stability under relaxed technical assumptions. The algorithm, and its convergence, is illustrated via simulation examples.

关键词： distributed algorithms Mobile sensing networks Multi-agent coverage

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Resolving Inconsistencies in Shared Context Models using Multiagent Systems

Resolving Inconsistencies in Shared Context Models using Mul...

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10th International conference on Intelligent Autonomous Systems

作者： Kaeppeler, Uwe-Philipp Benkmann, Ruben Zweigle, Oliver Lafrenz, Reinhard Levi, Paul Univ Stuttgart Inst Parallel & Distributed Syst IPVS D-70569 Stuttgart Germany

ISBN: (纸本)9781586038878

agents acting in physical space use perception in combination with their own world models and shared context models. The shared context models have to be adapted permanently to the conditions of the real world. If a measurement of an agent's sensor does not fit to the corresponding data in the shared context model the system contains an inconsistency. In this case it is necessary to decide whether the reason for the discrepancy is a change in the real world or a measurement error. A solution has to be based on only a limited number of measurements from different agents and a reduction of noise in the sensor data. The study reported in this paper evaluates procedures that combine a multitude of measurements to a single result that can be integrated in the shared context model. The statistically optimized procedure based on ratings of the participating agents is enhanced using scaled weighted arithmetic means which prevents the system from running into singularities caused by the feedback from the ratings. The method is combined with an additional preprocessing based on fuzzy clustering that detects aberrant measurements which can be excluded from further processing.

关键词： sensor Data fusion Fuzzy Clustering Weighted Arithmetic Mean

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Decentralised fusion of disparate identity estimates for shared situation awareness

Decentralised fusion of disparate identity estimates for sha...

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Proceedings of the Seventh International conference on Information fusion, fusion 2004

作者： Oxenham, Martin G. Challa, Subhash Morelande, Mark Def. Sci. and Technol. Organisation Intelligence Division PO Box 1500 Edinburgh SA Australia Coop. Res. Ctr. Sensor Sign. I.P. Dept. of Electrical Engineering The University of Melbourne Vic. 3010 Australia

ISBN: (纸本)917056115X

Network-centric warfare (NCW) and the interoperability of joint and coalition forces lie among the future warfighting concepts that have been identified by defence. The purpose behind the introduction of such concepts is to "link sensors, engagement systems and decision-makers into an effective and responsive whole, through shared situation awareness, clear procedures and the information connectivity needed to synchronise the actions of the defence farce to meet the commander's intent [1]." To realise the goal of shared situation awareness for NCW, it has long been acknowledged that decentralised data fusion is a key enabling technology, and to this end it has been investigated in terms of distributed target tracking and identification, and the development of distributed agents and ontologies. However, the aspects of interoperability relating to the fusion of disparate types of uncertain (local) data from joint and coalition data fusion systems for shared situation awareness do not appear to have been reported on in the open literature;fusion of disparate types of uncertain data has only been considered for centralised fusion systems. In this paper, these facets of data fusion are considered in tandem for the automatic target identification problem. In particular, a novel Bayesian technique is described and demonstrated for fusing estimates of target identity generated by local data fusion systems which employ a mix of Bayesian probability and Dempster-Shafer formalisms.

关键词： Military operations

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Proceedings - IEEE 14th International conference on Mobile Data Management, MDM 2013

Proceedings - IEEE 14th International Conference on Mobile D...

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14th International conference on Mobile Data Management, MDM 2013

The proceedings contain 96 papers. The topics discussed include: personal data management with secure hardware: how to keep your data at hand;crowdsourcing for mobile data management;visual analysis of mobility data;using mobile agents in vehicular networks for data processing;smartphone-assisted mobility in urban environments for visually impaired users through computer vision and sensor fusion;location privacy management and protection in geo-social networks;distributed complex event processing in sensor networks;collaborative mobile application and advanced services for smart parking;building accurate 3D spatial networks to enable next generation intelligent transportation systems;efficient spatio-temporal information fusion in sensor networks;exploiting foursquare and cellular data to infer user activity in urban environments;and continuous query processing for actual and predicted object flow in symbolic space.

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Proceedings - IEEE 14th International conference on Mobile Data Management, MDM 2013

Proceedings - IEEE 14th International Conference on Mobile D...

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14th International conference on Mobile Data Management, MDM 2013

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