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

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Fault tolerant interval fusion for moving vehicle classification in wireless sensor networks

Fault tolerant interval fusion for moving vehicle classifica...

引用

IET International Communication conference on Wireless Mobile and Computing (CCWMC 2009)

作者： C. T. Liu H. Huo T. Fang D. R. Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Faults of sensor data will always present in sensor networks because of unreliable communication links, measurement interference and harsh environment. Developing fusion algorithms that can tolerate faults is necessary for reliable sensor network applications. In this paper, we study the fault tolerant fusion for moving vehicle classification based on Marzullo's interval fusion algorithm. The unreliable sensor data are represented using interval estimations. To reduce communication cost, quantized interval representation is adopted. Simulation results demonstrate the validity of the interval fusion algorithm. By using quantized representation, the communication cost is reduced.

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Boeing Phantom Works fusion Architecture: A flexible approach for multiple projects and domains

Boeing Phantom Works Fusion Architecture: A flexible approac...

引用

International conference on Information fusion

作者： Jeffrey D. King Brett Hartman Advanced Network and Space Systems Boeing Company Kent WA USA

ISBN: (纸本)9780982443804

The Boeing fusion Architecture provides a highly flexible, multi-source, easily integrated tracker for a variety of applications. Many target types can be tracked, either from sensor reports, sensor tracks, or other types of tracks. The interfaces input type, assignment method, track type, track maintenance algorithms, etc. can be selected at run time by the user. The code uses the advanced libraries and tools of Java to keep the application well positioned for quick turn around for demos, proposals and program hot starts. The architecture is a multi threaded, event driven architecture delivering real time performance for multiple customers.

关键词： Imaging phantoms Target tracking sensor fusion sensor systems Databases Data analysis Computerized monitoring Humans Libraries Java

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Multi-camera networks : principles and applications /

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2009年

作者： Hamid Aghajan Andrea Cavallaro [editors].

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Real deployment of consensus algorithm on self-organized wireless sensor networks

Real deployment of consensus algorithm on self-organized wir...

引用

International conference on Telecommunications (ICT)

作者： Brahim Elbhiri Alba Pages-Zamora Driss Aboutajdine Laboratoire de Recherche en Informatique et Telecommunication FSR Rabat Maroc France Signal Processing and communications group UPC Barcelona Spain Laboratoire de Recherche en Informatique et Telecommunication FSR Rabat Maroc Morocco

Reaching consensus on a self-organized wireless sensor networks through totally decentralized algorithms is a topic that has attracted considerable attention. The average consensus method is the most popular algorithm used in this kind of applications. The main advantage of these approaches is that the network does not involve a fusion center to organize nodes. Using a realistic environment to check the behavior of this scheme is the major objective of this work. Moreover, this paper contributes to answer and confirm some results which are approved by theoretical works.

关键词： Wireless sensor networks Signal processing algorithms Iterative algorithms Temperature sensors Acoustic sensors sensor systems Interference Signal to noise ratio sensor phenomena and characterization Computerized monitoring

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sensor fusion-Oriented Fall Detection for Assistive Technologies applications

Sensor Fusion-Oriented Fall Detection for Assistive Technolo...

引用

International conference on Intelligent Systems Design and applications (ISDA)

作者： Stefano Cagnoni Guido Matrella Monica Mordonini Federico Sassi Luca Ascari Dipartimento di Ingegneria dellInformazione University of Parma Parma Italy Henesis srl Parma Italy

A new trend in modern assistive technologies implies making extensive use of ICT to develop efficient and reliable "ambient intelligence" applications dedicated to disabled, elderly or frail people. In this paper we describe two fall detectors, based on bio-inspired algorithms. Such devices can either operate independently or be part of a modular and easily extensible architecture, able to manage different areas of an intelligent environment. In this case, effective data fusion can be achieved, thanks to the complementary nature of the sensors on which the detectors are based. One device is based on vision and can be implemented on a standard FPGA programmable logic. It relies on a simplified version of the particle swarm optimization algorithm. The other device under consideration is a wearable accelerometer-based fall detector, which relies on a recent soft-computing paradigm called hierarchical temporal memories (HTMs).

关键词： Intelligent sensors Detectors Biosensors Ambient intelligence Senior citizens Environmental management sensor fusion Wearable sensors Field programmable gate arrays Logic devices

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A decentralized Gauss-Seidel approach for in-network sparse signal recovery

A decentralized Gauss-Seidel approach for in-network sparse ...

引用

International conference on Information fusion

作者： Qing Ling Zhi Tian Department of ECE Michigan Technological University Houghton MI USA

This paper addresses the problem of monitoring and discovering abnormalities in sensing fields with large-scale wireless sensor networks. By exploiting the sparsity of abnormalities, the signal recovery problem is expressed as an l-l regularized least squares formulation with nonnegative constraints. Furthermore, a decentralized Gauss-Seidel approach is proposed for in-network signal processing. Comparing with its centralized counterpart, the decentralized algorithm improves the robustness and scalability of a large-scale network. Parameter settings of the l-l regularized least squares formulation are studied via theoretical analysis and extensive simulations. An illustrative example of structural health monitoring demonstrates the effectiveness of the proposed decentralized sparse signal recovery algorithm in practical applications.

关键词： Gaussian processes Wireless sensor networks sensor phenomena and characterization Monitoring Large-scale systems Least squares methods Signal processing algorithms Signal processing Robustness Scalability

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Real-Time Estimation of Roll Angle and CG Height for Active Rollover Prevention applications

Real-Time Estimation of Roll Angle and CG Height for Active ...

引用

2009 American Control conference (ACC 2009)

作者： R. Rajamani D. Piyabongkarn V. Tsourapas J.Y. Lew University of Minnesota Minneapolis MN 55455 Eaton Corporation Innovation Center Eden Prairie MN 55344

ISBN: (纸本)9781424445233

Roll angle and height of the center of gravity are important variables that play a critical role in the calculation of real-time rollover index for a vehicle. The rollover index predicts the real-time propensity for rollover and is used in activation of rollover prevention systems such as differential braking based stability control systems. sensors to measure roll angle are expensive. sensors to estimate the c.g. height of a vehicle do not exist. While the height of the center-of-gravity does not change in real-time, it does change with the number of passengers and loading of the vehicle. This paper focuses on algorithms to estimate roll angle and c.g. height. The algorithms investigated include a sensor fusion algorithm that utilizes a low frequency tilt angle sensor and a gyroscope and a dynamic observer that utilizes only a lateral accelerometer and a gyroscope. The performance of the developed algorithms is investigated using simulations and experimental tests. Experimental data confirm that the developed algorithms perform reliably in a number of different maneuvers that include constant steering, ramp steering, double lane change and sine with dwell steering tests.

关键词： Character generation Vehicles sensor fusion Gyroscopes Testing Gravity Real time systems Stability Control systems Goniometers

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sensor data fusion based position estimation techniques in mobile robot navigation

Sensor data fusion based position estimation techniques in m...

引用

European Control conference (ECC)

作者： Levente Tamas Andras Majdik Gheorghe Lazea Department of Automation Technical Univeristy of Cluj-Napoca

This paper gives an overview about the position estimation techniques based on typical measurement devices used in mobile robot applications. The purpose of this paper is to give an overview of the position estimation based on the fusion of information from several sensors. It presents different extensions of Kalman filter estimators and analyses the performances of these algorithms. There are compared several estimation techniques like the Extended or Unscented Kalman filters and the particle methods. Furthermore modelling details and stereo vision algorithms are introduced. In the second part there are shown the results of the odometric, ultrasonic measurements techniques and the ones based on stereo vision.

关键词： Kalman filters Robot sensing systems Estimation Noise Mobile robots Stereo vision Ultrasonic variables measurement

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Optimal sensor Deployment for Value-fusion Based Detection

Optimal Sensor Deployment for Value-Fusion Based Detection

引用

GLOBECOM 2009 - 2009 IEEE Global Telecommunications conference

作者： Ahmad Ababnah Balasubramaniam Natarajan WiCom Group Department of Electrical & Computer Engineering Kansas State University Manhattan KS USA

In many wireless sensor networks based detection and surveillance applications, the goal is to deploy sensors in an an area of interest such that certain false alarm and detection requirements are satisfied. Additionally, data fusion methods can be used to combine information from multiple sensors in order to enhance the ability of the network to meet the detection/false alarm requirements. In this paper, we pose the following question: Given a finite number of sensors that have the ability to cooperate via data fusion, what is the best way to deploy the sensors in order to meet the detection requirements in a mean squared sense, while maintaining a specified false alarm probability. Unlike prior efforts that rely on heuristics to address the deployment question, we present an optimal control theory based sensor deployment approach. Here, we model the system as a linear quadratic regulator with the deployment locations serving as control parameters. We quantify the effect of placing a sensor (and its ability to cooperate with other sensors) on the overall detection probability in order to develop an analytical solution. Using simulation results, we illustrate that our proposed approach is far superior in performance relative to existing methods in terms of minimum number of sensors needed to satisfy detection and false alarm requirements.

关键词： Wireless sensor networks sensor fusion Intelligent sensors sensor phenomena and characterization sensor systems Regulators Energy measurement Computational efficiency Heuristic algorithms Computer networks

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Robust multi sensor pose estimation for medical applications

Robust multi sensor pose estimation for medical applications

引用

2009 IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Andreas Tobergte Mihai Pomarlan Gerd Hirzinger German Aerospace (DLR) Institute of Robotics and Mechatronics Wessling Germany

In this paper a sensor fusion for pose estimation using optical and inertial data is presented. The proposed algorithm is based on extended Kalman filtering and fuses data from an optical tracking system and an inertial measurement unit. These two redundant sensor systems complement each other well, with the tracking system providing absolute positions and the inertial measurements giving low latency information of derivatives. Models for both sensors are given respecting the different sampling times and latencies. Another key issue is to use information about every landmark, i.e. marker ball, visible for the tracking system, by coupling the two sensor systems tightly together. The algorithm is evaluated in simulation and tested with an experimental hardware platform. The combined sensor system is robust with respect to short time marker occlusions and effectively compensates for latencies in the pose measurements.

关键词： Robustness Medical services Biomedical equipment Optical filters sensor systems Delay Biomedical optical imaging Optical sensors sensor fusion Filtering algorithms

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