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conference on sensor fusion - architectures, algorithms, and applications III

作者： Peli, T Young, M Knox, R Ellis, K Bennett, F Atlantic Aerosp Elect Corp Waltham MA 02154 USA

ISBN: (纸本)0819431931

This paper describes two practical fusion techniques (hybrid fusion and cued fusion) for automatic target cueing that combine features derived from each sensor data at the object-level. In the hybrid fusion method each of the input sensor data is prescreened (i.e. Automatic Target Cueing (ATC) is performed) before the fusion stage. The cued fusion method assumes that one of the sensors is designated as a primary sensor, and thus ATC is only applied to its input data. If one of the sensors exhibits a higher Pd and/or a lower false alarm rate, it can be selected as the primary sensor, However, if the ground coverage can be segmented to regions in which one of the sensors is known to exhibit better performance, then the cued fusion can be applied locally/adaptively by switching the choice of a primary sensor. Otherwise, the cued fusion is applied both ways (each sensor as primary) and the outputs of each cued mode are combined. Both fusion approaches use a back-end discrimination stage that is applied to a combined feature vector to reduce false alarms. The two fusion processes were applied to spectral and radar sensor data and were shown to provide substantial False alarm reduction. The approaches are easily extendable to more than two sensors.

关键词： sensors Image fusion Data fusion Synthetic aperture radar Target detection Feature extraction sensor fusion Image processing Infrared sensors Target recognition

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Proceedings of SPIE: Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2003

Proceedings of SPIE: Multisensor, Multisource Information Fu...

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Multisensor. Multisource Information fusion: architectures, algorithms, and applications 2003

This Volume 5099 of the conference proceedings contains 45 papers. Topics discussed include classification and decision fusion, image level fusion, approximate reasoning methodologies, estimation and tracking, fusion methodologies, evolving concepts and methodologies, architectures and related topics, industrial, medical and speech applications, defense applications, sensor/resource management and related topics.

关键词： sensor data fusion

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Biologically-based sensor fusion for medical imaging

Biologically-based sensor fusion for medical imaging

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conference on sensor fusion - architectures, algorithms, and applications V

作者： Aguilar, M Garrett, AL Jacksonville State Univ Knowledge Syst Lab Jacksonville AL 36265 USA

ISBN: (纸本)0819440809

We present an architecture for the fusion of multiple medical image modalities that enhances the original imagery and combines the complementary information of the various modalities. The design principles follow the organization of the color vision system in humans and primates. Mainly, the design of within-modality enhancement and between-modality combination for fusion is based on the neural connectivity of retina and visual cortex. The architecture is based on a system developed and deployed for night vision applications while the first author was at MIT Lincoln Laboratory [1, 2]. Results of fusing various modalities are presented, including: a) fusion of T1-weighted and T2-weighted MRI images, b) fusion of PD, T1-weighted, and T2-weighted, and c) fusion of SPECT and MRI/CT. The results will demonstrate the ability to fuse such disparate imaging modalities with regards to information content and complementarities. These results will show how both brightness and color contrast are used in the resulting color fused images to convey information to the user. In addition, we will demonstrate the ability to preserve the high spatial resolution of modalities such as MRI even when combined with poor resolution images such as from SPECT scans. We conclude by motivating the use of the fusion method to derive more powerful image features to be used in segmentation and pattern recognition.

关键词： image fusion sensor fusion medical image processing automated diagnosis diagnostic aids

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Asymmetric fusion strategies for target detection in multisensor environments

Asymmetric fusion strategies for target detection in multise...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Dasarathy, BV Dynetics Inc. (United States)

ISBN: (纸本)081942482X

Most of the studies reported in the open literature on sensor fusion for target detection in multisensor environments have proposed fusion strategies that are essentially independent of the identity of the object as observed by the individual sensors. This independence makes the fusion strategies symmetric relative to the identity of the objects in terms of their target or non-target (decoys, clutter etc.) status. In this study, new ground is broken in terms of fusion strategies which, by being dependent on the identity of the objects as perceived by the individual sensors, can be asymmetric relative to the identity of the object under observation. The study analyzes the scope for and benefits of deployment of these asymmetric fusion strategies as compared to the conventional Boolean logic based symmetric fusion strategies studied previously. Under these conventional fusion strategies, while use of the Boolean AND logic for fusion tends to minimize the false alarm rate, use of OR logic maximizes the detection probability. Under the asymmetric fusion strategies conceived here, it is possible to drive the decision process towards maximizing the probability of detection of lethal objects (targets) while simultaneously minimizing the false alarm rates. The performance of these asymmetric fusion strategies, when embedded in a recursive structure that permits multiple observation and temporal fusion along the time line, are analyzed relative to that of the conventional symmetric fusion strategies to parametrically determine their domains of beneficial deployment.

关键词： sensor fusion temporal fusion decision fusion asymmetric fusion strategies Boolean logic based fusion

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COBRA based infrastructure (CORBIS) for sensor data fusion systems

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 220-229页

作者： Balci, Metin Kuru, Selahattin Software Development Cent Kocaeli Turkey

The Common Object Request Broker Architecture (COBRA) has been proven to be effective for application in the Data fusion domain. However, the benefits of this system have not yet been fully realized because of unresolved issues concerning reliability, fault-tolerance and real-time/fast enough QoS behavior of the system. In view of this, an attempt has been made to develop a domain specific environment with the commercially available standard products. The result is a COBRA based infrastructure (CORBIS) that provide interfaces and mechanisms for various applications and services.

关键词： Computer software

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Formal methods of automated reasoning for situational estimation

Formal methods of automated reasoning for situational estima...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Llinas, J SUNY/Buffalo (United States)

ISBN: (纸本)081942482X

Most research and prototype development of automated methods for situational estimation in the data fusion community have applied heuristic approaches coupled to techniques for uncertainty management. Reasoning theorists would label these methods as those of the parametric reasoning class. Such methods are reasonable when the so-called ''closed world'' assumption can be confidently applied (ability to full prespecify expected conditions) which might have been reasonable in the ''Soviet Era'' but would appear fragile/brittle for current-day application. Motivated in part by these considerations and by the need to consider much more cost-effective knowledge-based-system development in an era of declining budgets, this paper offers some discussion on the applicability of more formal methods of reasoning for KBS. It is concluded that strictly formal methods for real-world applications require yet further theoretical development but that movement toward formalization is possible.

关键词： automated reasoning data fusion information fusion formal methods truth maintenance default reasoning

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Three dimensional data fusion for biomedical surface reconstruction

Three dimensional data fusion for biomedical surface reconst...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Zachary, JM Iyengar, SS Louisiana State Univ. (United States)

ISBN: (纸本)081942482X

Traditional surface reconstruction techniques have focused exclusively on contour sections in one anatomical direction. However, in certain medical situations, such as in presurgical planning and radiation treatment, medical scans are taking of the patient in three orthogonal directions to better localize pathologies. fusion techniques must be used to register this data with respect to a surface fitting method. We explore the issues involved in fusing data from ellipsoid anatomy, such as the brain, heart, and major organs. The output of the fusion process is a set of data points which are correlated to one another to represent the surface of a single object. This data network is then used as input to a surface fitting algorithm which depends on two sampling metrics which we derive. The solution to this problem is important in presurgical planning, radiation treatment, and telemedical systems.

关键词： data fusion contour reconstruction surface reconstruction scattered data

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PASES: Combining radar and video sensing for improved pedestrian safety

PASES: Combining radar and video sensing for improved pedest...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Chenault, David B. Edmondson, Richard P. Polaris Sensor Technol Inc 200 West Side SqSuite 320 Huntsville AL 35801 USA

ISBN: (纸本)9781510601130

Polaris sensor Technologies reports on the development of Pedestrian Automated System for Enforcement and Safety (PASES), a radar and video based system used to monitor vehicle and pedestrian traffic with the intent of improving pedestrian safety. Data is fused from a system of multiple sensors and multiple sensor modalities to identify vehicular violations of pedestrian right of way. A focus was placed on the selection of low cost COTS sensors to make the system more widely available to state and local DOTs with limited budgets. applications include automated enforcement, adaptive traffic control, and improved intersection and crosswalk design based on high quality data available for traffic engineering. We discuss early results with high fidelity sensors, and the performance trades made in order to make the system affordable. A discussion of the system processing architecture is included which highlights the treatment of each sensor data type, and the means of combining the processed data products into state information related to traffic incidents involving vehicles and pedestrians.

关键词： Pedestrian radar video tracking sensor fusion

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ELIPS: Toward a sensor fusion processor on a chip

ELIPS: Toward a sensor fusion processor on a chip

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conference on sensor fusion - architectures, algorithms, and applications III

作者： Daud, T Stoica, A Thomas, T Li, WT Fabunmi, J CALTECH Jet Prop Lab Pasadena CA 91109 USA

ISBN: (纸本)0819431931

The paper presents the concept and initial tests from the hardware implementation of a low-power, high-speed reconfigurable sensor fusion processor. The Extended Logic Intelligent Processing System (ELIPS) processor is developed to seamlessly combine rule-based systems, fuzzy logic, and neural networks to achieve parallel fusion of sensor in compact low power VLSI. The first demonstration of the FLIPS concept targets interceptor functionality;other applications, mainly in robotics and autonomous systems are considered for the future. The main assumption behind ELIPS is that fuzzy, rule-based and neural forms of computation can serve as the main primitives of an "intelligent" processor. Thus, in the same way classic processors are designed to optimize the hardware implementation of a set of fundamental operations, ELIPS is developed as an efficient implementation of computational intelligence primitives, and relies on a set of fuzzy set, fuzzy inference and neural modules, built in programmable analog hardware. The hardware programmability allows the processor to reconfigure into different machines, taking the most efficient hardware implementation during each phase of information processing. Following software demonstrations on several interceptor data three important ELIPS building blocks (a fuzzy set preprocessor, a rule-based fuzzy system and a neural network) have been fabricated in analog VLSI hardware and demonstrated microsecond-processing times.

关键词： sensor fusion hardware sensor fusion processor fuzzy expert system neural networks reconfigurable hardware

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Multi-sensor, multi-source information fusion: Architecture, algorithms, and applications - A panoramic overview

Multi-sensor, multi-source information fusion: Architecture,...

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ICCC 2004 - Second IEEE International conference on Computational Cybernetics

作者： Dasarathy, Belur V.

ISBN: (纸本)0780385888

This plenary presentation offers a panoramic overview of the field of multi-sensor, and/or multi-source information fusion from three complementary perspectives, namely, architectures, algorithms, and applications. This overview is developed through addressing the questions of 'what', 'why', 'when', and last but not least 'how' of information fusion and illustrating the answers with appropriate algorithmic and applicative examples. © 2004 IEEE.

关键词： sensor data fusion

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