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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

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Hybrid framework for fusion 2+in multi-multi air engagement

Hybrid framework for fusion 2+in multi-multi air engagement

引用

conference on Multisensor, Multisource Information fusion

作者： Lee, KD Llinas, J Adleson, R Decis Analyt Corp Arlington VA 22202 USA

ISBN: (纸本)0819457981

fusion 2+ of air-to-air engagement involves pressing, real-time constraints and very large amounts of imperfect data. Real-time data acquired during an air-to-air engagement will have different types of imperfection;two representative classes of imperfection are vagueness and ambiguity in the data. However, the current approaches of managing fusion 2+ are limited to utilize either vague data or ambiguous data. The most popular fusion technique for vague data is Fuzzy Logic, and for ambiguous data, the Bayesian Network. The challenge addressed in this proposal is to explore the framework of a hybrid processing fusion 2+ model that can formally process both vague (fuzzy) and ambiguous (probabilistic) data types. There are two major issues for building this fusion 2+ model. The first issue is to mathematically integrate the heterogeneous models, which have different domains, probability and possibility. The second issue is to programmatically integrate two different S/Ws. For solving the first issue, this research explores and adopts two novel transformation methods between probability and possibility and compares the sensitivity between methods. Also this research provides an Object Oriented Tool for building a hybrid model by adopting an Application Programming Interface, so that we can model the complex (multi-to-multi) fusion 2+ model of an air-to-air engagement.

关键词： fusion 2+ situation awareness Bayesian networks fuzzy logic Application Programming Interface (API)

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Mobile agent-based distributed fusion (MADfusion) system

Mobile agent-based distributed fusion (MADFUSION) system

引用

7th International conference on Information fusion (fusion)

作者： Landis, J Bai, L Salerno, J Hinman, M Boulware, D Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)0780392868

This paper considers a system architecture referred to as the Mobile Agent-Based Distributed fusion (MADfusion) system. The system environment consists of a peer-to-peer ad-hoc network in which information may be dynamically distributed and collected via publish/subscribe functionality implemented at each node of the network to facilitate data sharing and decision making in Level 2 fusion. The Level 2 decision making process implemented in the system consists of the Enhanced Doctrinal Template Matching (EDTM) algorithm which is shown to be an improvement over the pre-existing Doctrinal Template Matching algorithm. This algorithm is developed to operates on information obtained from lower layer fusion processes in order to identify aggregated groups of entities. The template matching algorithm is shown to be an improvement over a previously existing algorithm. The MADfusion system is proposed to extend the client/server architecture of various publish/subscribe applications to an architecture providing decentralization, reconfigurability, mobility, attainability and prevention of single points of failure. The system is implemented in a wireless ad-hoc network (802.11b) and performs the publish/subscribe functionality through the implementation of a mobile agent based framework. The software agents travel deterministically from node-to-node carrying a data payload consisting of information which may be subscribed to by users within the network. Within this system, situation awareness (Level 2 fusion) can be sought by using these multi-domain information sources (GMTI, Video, or SAR) for evaluation at each node with different distributed information fusion algorithms.

关键词： sensor data fusion

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Interlaced Extended Kalman Filter for real time navigation

Interlaced Extended Kalman Filter for real time navigation

引用

IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Panzieri, S Pascucci, F Setola, R Univ Roma Tre Dip Informat & Automaz I-00146 Rome Italy

ISBN: (纸本)0780389123

Real-time applications ask for reduced computational cost algorithms. In robotic exploration of unstructured environments the problem is more challenging: several tasks, at the same time, must be carried on ranging from reactive behaviours to the building of a structured representation of the environment itself. Many sensor signals have to be processed at each step to estimate both landmarks and robot positions. This mapping aptitude can be implemented through an Extended Kalman Filter recently proposed in a previous paper. Due to the large number of estimated variables, and real-time constraints, the filter is better implemented in its interlaced version. The novelty of this paper consists in extending the IEKF filter, removing some hypothesis on the linearity of both state transition and observation mapping, in order to further reduce computational burden and then achieve a better tradeoff among computational load and accuracy.

关键词： mobile robotics SLAM sensor fusion

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Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels

Characterisation of image fusion quality metrics for surveil...

引用

2005 8th International conference on Information fusion, fusion

作者： Canga, E. Fernández Nikolov, S.G. Canagarajah, C.N. Bull, D.R. Dixon, T.D. Noyes, J.M. Troscianko, T. University of Bristol Centre for Communications Research Woodland Road Bristol BS8 1UB United Kingdom University of Bristol Department of Experimental Psychology 8 Woodland Road Bristol BS8 1TN United Kingdom

ISBN: (纸本)0780392868

Image fusion is finding increasing application in areas such as medical imaging, remote sensing or military surveillance using sensor networks. Many of these applications demand highly compressed data combined with error resilient coding due to the characteristics of the communication channel. In this respect, JPEG2000 has many advantages over previous image coding standards. This paper evaluates and compares quality metrics for lossy compression using JPEG2000. Three representative image fusion algorithms: simple averaging, contrast pyramid and dual-tree complex wavelet transform based fusion have been considered. Numerous infrared and visible test images have been used. We compare these results with a psychophysical study where participants were asked to perform specific tasks and assess image fusion quality. The results show that there is a correlation between most of the metrics and the psychophysical evaluation. They also indicate that selection of the correct fusion method has more impact on performance than the presence of compression. © 2005 IEEE.

关键词： Image quality

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Accurate time synchronization for wireless sensor networks

引用

1st International conference on Mobile Ad-hoc and sensor Networks

作者： Xu, HL Huang, LS Wan, YY Xu, B Univ Sci & Technol Dept Comp Sci & Technol Anhui Province Most Co Key Lab High Performance C Hefei 230027 Peoples R China

ISBN: (纸本)3540308563

Time synchronization is a critical topic in wireless sensor networks for its wide applications, such as data fusion, TDMA scheduling and cooperated sleeping, etc. In this paper, we present an accurate time synchronization (ATS) algorithm using linear least square for sensor networks. Unlike the previous protocols, all nodes aren't synchronized to some reference nodes or sink node, but to a virtual clock. Moreover, each pair of the nodes are synchronized each other. The main advantage of ATS is simple and accurate. The variance of the synchronized drift error is no more than D-s * delta/2 beta(2), where D-s is the depth of the network, delta is the maximal variance of the link delay and beta is the sampling interval. The experiments show the high precision compared with the previous algorithms.

关键词： Telecommunication networks

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Tactic-based motion modeling and multi-sensor tracking

Tactic-based motion modeling and multi-sensor tracking

引用

20th National conference on Artificial Intelligence and the 17th Innovative applications of Artificial Intelligence conference, AAAI-05/IAAI-05

作者： Gu, Yang Computer Science Department Carnegie Mellon University 5000 Forbes Ave Pittsburgh PA 15213

Tracking in essence consists of using sensory information combined with a motion model to estimate the position of a moving object. Tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. For a vision sensor like a camera, the estimation is translated into a command to guide the camera where to look. In this paper, we contribute a method to achieve efficient tracking through using a tactic-based motion model, combined vision and infrared sensory information. We use a supervised learning technique to map the state being tracked to the commands that lead the camera to consistently track the object. We present the probabilistic algorithms in detail and present empirical results both in simulation experiment and from their effective execution in a Segway RMP robot. Copyright © 2005, American Association for Artificial Intelligence (***). All rights reserved.

关键词： sensor data fusion

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International conference on Industrial Electronics and Control applications, 2005. ICIECA 2005

International Conference on Industrial Electronics and Contr...

引用

ICIECA 2005: International conference on Industrial Electronics and Control applications 2005

ISBN: (纸本)0780394194

The proceeding contains 52 papers. The topics discussed include: state estimation of the vinyl acetate reactor using unscented Kalman filters (UKF);control applications using computational intelligence methodologies;an adaptive root-solving controller for tracking of nonlinear dynamic plants;correspondence method for registration of range images using evolutionary algorithms;output feedback adaptive decentralized control of cooperative robots;using multivariate regression techniques to analyse the performance of a steam heated drying process;performance analysis of speaker features extracted from high-order fractional domains;design and development of a soft-sensor for ammonia degradation and nitrite accumulation in an activated sludge reactor;fuzzy control of a robotic arm using EMG signals;design and development of a frequency inverter with the Intel 80C196MC microcontroller;and visualization and study mode architectures for real-time power system control.

关键词： Control system analysis

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Proceedings of 1st International conference on Information and Communication Technology, ICICT 2005

Proceedings of 1st International Conference on Information a...

引用

1st International conference on Information and Communication Technology, ICICT 2005

ISBN: (纸本)0780394216

The proceedings contain 81 papers. The topics discussed include: on organizational accidents;research and education in telecommunication engineering;the use of meta-heuristic algorithms for data mining;hexagonal structure for intelligent vision;performance evaluation of sparse storage formats;education dimensions of information technology;exploring the possibility of implementing telecommuting at University Ultra Malaysia (UUM);a performance comparison of data encryption algorithms;super sampling aliased air borne sensor data with interpolation technique;use of neural networks in multi-sensor fusion for remote sensing applications;fingerprint matching using ridge patterns;classification of compressed human face images by using principle components;fuzzy logic control of coupled liquid tank system;and irrigation network regulation through CAD system.

关键词： Telecommunication services

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Multiple target tracking and classification improvement using data fusion at node level using acoustic signals

Multiple target tracking and classification improvement usin...

引用

conference on Unattended Ground sensor Technologies and applications VII

作者： Damarla, TR Whipps, G USA Res Lab ATTN AMSRD ARL SE SA Adelphi MD 20783 USA

ISBN: (纸本)0819457817

Target tracking and classification using passive acoustic signals is difficult at best as the signals are contaminated by wind noise, multi-path effects, road conditions, and are generally not deterministic. In addition, microphone characteristics, such as sensitivity, vary with the weather conditions. The problem is further compounded if there are multiple targets, especially if some are measured with higher signal-to-noise ratios (SNRs) than the others and they share spectral information. At the U. S. Army Research Laboratory we have conducted several field experiments with a convoy of two, three, four and five vehicles traveling on different road surfaces, namely gravel, asphalt, and dirt roads. The largest convoy is comprised of two tracked vehicles and three wheeled vehicles. Two of the wheeled vehicles are heavy trucks and one is a light vehicle. We used a super-resolution direction-of-arrival estimator, specifically the minimum variance distortionless response, to compute the bearings of the targets. In order to classify the targets, we modeled the acoustic signals emanated from the targets as a set of coupled harmonics, which are related to the engine-firing rate, and subsequently used a multivariate Gaussian classifier. Independent of the classifier, we find tracking of wheeled vehicles to be intermittent as the signals from vehicles with high SNR dominate the much quieter wheeled vehicles. We used several fusion techniques to combine tracking and classification results to improve final tracking and classification estimates. We will present the improvements (or losses) made in tracking and classification of all targets. Although improvements in the estimates for tracked vehicles are not noteworthy, significant improvements are seen in the case of wheeled vehicles. We will present the fusion algorithm used.

关键词： sensors Detection and tracking algorithms Acoustics Signal to noise ratio Algorithm development Data fusion Roads Databases Roentgenium Target detection

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A script-based approach to distributed presence aggregation

A script-based approach to distributed presence aggregation

引用

International conference on Wireless Networks, Communications and Mobile Computing

作者： Bergmann, O Ott, J Kutscher, D Univ Bremen Technol Zentrum Informat Bremen Germany

ISBN: (纸本)0780393058

Personal presence systems are widely used to get aware Of other users' availabilitv and willingness to communicate before actually contacting them. After early systems focused on ad-hoc text messaging only and relied oil manual updates of status descriptions, modern applications not only integrate multi-media communication but also facilitate automatic detection of status changes. The status of devices owned by a particular user then call be used to infer the user's presence status automatically, i.e. without explicit user-interaction. To achieve this, unstructured data provided from various sources is aggregated and set into relation with user-specific context information. The aggregation service presented here eliminates the need for extensive information acquisition that is necessary for most learning algorithms. Users instead have full control over the aggregation. process, including the distribution of their presence status information to interested watchers.

关键词： presence aggregation sensor fusion capability description SIP PIDF

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