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13th IEEE International Conference on Industrial Informatics (INDIN)

作者： Monte, G. Huang, V. Abate, F. Paciello, V. Pietrosanto, A. Univ Tecnol Nacl Fac Reg Neuquen Plaza Huincul Argentina Better World IES Stand Mishawaka IN USA Univ Salerno Dept Ind Engn I-84084 Fisciano SA Italy

ISBN: (纸本)9781479966493

This paper presents a real time algorithm, based on a segmentation and labelling technique, for analog transducer signals, which extracts information from the signal. The process of sampling is extremely important because it is the only one that connects the real world with the digital world. In addition, the proposed technique can be embedded into sensors, allowing applications in sensor networks and sensors data fusion architectures like Internet of Things. A simplified version of these algorithms has been proposed as a standard for transducer signal feature extraction. These algorithms are analysed and experimental results are tackled for representative signals, in different fields.

关键词： sampling sensor networks IoT standards real time smart sensors

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i-TEAMS: Cooperative GNC for small UAV formations 2

i-TEAMS: Cooperative GNC for small UAV formations

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2nd IEEE International Workshop on Metrology for Aerospace

作者： Vetrella, Amedeo Rodi Fasano, Giancarmine Accardo, Domenico Univ Naples Federico II Dept Ind Engn Naples Italy

ISBN: (纸本)9781479975693

The research project named "i-TEAMS" (innovative Techniques for Autonomous Micro-UAV Swarms) aims at developing new architectures and technologies for distributed guidance, navigation, and control of mini and/or micro Unmanned Aircraft Systems. Main research topics and the project strategy are described. Then, the basic logical steps of innovative cooperative navigation algorithms, and measurement uncertainty budgets, are provided. Experimental results demonstrate effective vision-based tracking and promising performance in terms of attitude estimation based on differential GPS and relative sensing.

关键词： Unmanned Aircraft Systems Cooperative Guidance Navigation and Control sensor fusion vision-based Tracking Cooperative GNSS applications

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\"Found\" in Space - Helical Resonator Filters for Satellite Communication [Book\/Software Reviews]

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IEEE Microwave Magazine 2015年第11期16卷 80-82页

作者： James Chu Kennesaw State University Southern Polytechnic State University Marietta Georgia United States

This book's main objective is to offer a contemporary, comprehensive approach to the design of RF and microwave filters for satellite applications with an emphasis on helical resonator technology. By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies. Complete with research-supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex-optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs. The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help readers broaden their understanding of prospective applications and how to address such problems in practice. After reading the book, readers will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

关键词： Book reviews Filtering theory Satellite communication Microwave filters Design methodology Wireless sensor networks Radio frequency Information filters Helical antennas

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Reviewing the process of data fusion in wireless sensor network: A brief survey

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International Journal of Wireless and Mobile Computing 2015年第2期8卷 130-140页

作者： Shivaprasad Yadav, S.G. Chitra, A. Lakshmi Deepika, C. Department of Telecommunication Engineering M.S. Ramaiah Institute of Technology Bangalore Karnataka India Department of Computer Applications P.S.G College of Technology Coimbatore Tamil Nadu India Department of Biomedical Engineering P.S.G College of Technology Coimbatore Tamil Nadu India

Wireless sensor network is deployed on human inaccessible region to perform a very sensitive task where various external and internal factors affect the results being accumulated by the sensing node. Data fusion is one such technique. With the upcoming applications of wireless sensor network, it is also accompanied by various power and quality related issues. However, it was seen that whatever are the challenges or issues, it affects basically the data collection techniques from sensor nodes and corresponding forwarding to sink node. Hence, this paper aims to perform an exclusive investigation of the data fusion with respect to various standard architectures, standard algorithms and techniques investigated in the past study for performing data fusion, followed by open issues and research gap in the existing system adopted for enhancing the efficiency of data fusion techniques. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： sensor nodes

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Real-time power-efficient integration of multi-sensor occupancy grid on many-core

Real-time power-efficient integration of multi-sensor occupa...

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IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO

作者： Tiana Rakotovao Julien Mottin Diego Puschini Christian Laugier INRIA Grenoble Rhone-Alpes CEA-LETI MINATEC Campus Grenoble

Safe Autonomous Vehicles (AVs) will emerge when comprehensive perception systems will be successfully integrated into vehicles. Advanced perception algorithms based on occupancy grids were developed for AV prototypes. These algorithms estimate the position and speed of every obstacle in the environment by using data fusion from multiple sensors. Computational requirements of such fusion prevent their integration into AVs on current low-power embedded hardware. However, recent emerging many-core architectures offer opportunities to fulfill the automotive market constraints and efficiently support advanced perception applications. This paper explores the integration of the occupancy grid multi-sensor fusion algorithm into low power many-core architectures. The parallel properties of this function are used to achieve realtime performance with a power consumption less than 1W. The proposed implementation produces an occupancy grid of 500×300 cells within 6.26ms. The execution time is 6x faster than typical sensor output rates and 9x faster than previous embedded prototypes.

关键词： Computational modeling Mathematical model Hardware Laser radar Real-time systems Vehicles Computer architecture

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Guest editorial: Collaborative wireless sensor networks: architectures, algorithms and applications

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Information fusion 2015年 22卷 1-2页

作者： Fortino, Giancarlo Bal, Mert Li, Wenfeng Shen, Weiming DIMES University of Calabria Via. P. Bucci cubo 41C Rende CS87036 Italy Department of Engineering Technology Miami University Mosler Hall HamiltonOH45011 United States School of Logistics Engineering Wuhan University of Technology Wuhan430063 China National Research Council of Canada 800 Collip Circle LondonONN6G 4X8 Canada

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Integrated Multi-sensor fusion for Mapping and Localization in Outdoor Environments for Mobile Robots

Integrated Multi-sensor Fusion for Mapping and Localization ...

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

作者： Emter, Thomas Petereit, Janko Fraunhofer Inst Optron Syst Technol & Image Explo Karlsruhe Germany

ISBN: (纸本)9781628410587

An integrated multi-sensor fusion framework for localization and mapping for autonomous navigation in unstructured outdoor environments based on extended Kalman filters (EKF) is presented. The sensors for localization include an inertial measurement unit, a GPS, a fiber optic gyroscope, and wheel odometry. Additionally a 3D LIDAR is used for simultaneous localization and mapping (SLAM). A 3D map is built while concurrently a localization in a so far established 2D map is estimated with the current scan of the LIDAR. Despite of longer run-time of the SLAM algorithm compared to the EKF update, a high update rate is still guaranteed by sophisticatedly joining and synchronizing two parallel localization estimators.

关键词： multi-sensor fusion extended Kalman filter particle filter SLAM autonomous mobile robot asynchronous fusion 3D LIDAR mapping

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A Metamaterial-Inspired Combined Inductive-Capacitive sensor

A Metamaterial-Inspired Combined Inductive-Capacitive Sensor

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

作者： Long, Jiang Wang, Bingnan Mitsubishi Elect Res Labs Cambridge MA 02139 USA

ISBN: (纸本)9781628410587

This paper reports a metamaterial inspired combined inductive-capacitive sensing method for detecting and distinguishing metallic and non-metallic objects. Metallic and non-metallic objects can be distinguished by measuring both of their inductive and capacitive responses based on the fact that they respond differently to inductive and capacitive sensing. The proposed method is inspired by metamaterial structures. Both inductive and capacitive sensing are simultaneously realized when the sensor is operating at off-resonant frequencies. The proposed method is demonstrated with typical printed circuit board (PCB) technology. The designed sensor can distinguish the metallic and dielectric objects with a sensing range about 10 mm, showing a competitive performance compared with commercially available proximity sensors.

关键词： proximity sensor metamaterials combined sensing

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Multisensor fusion with non-optimal decision rules: the challenges of "open world" sensing

Multisensor fusion with non-optimal decision rules: the chal...

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

作者： Minor, Christian Johnson, Kevin Nova Res Inc Alexandria VA 22308 USA Naval Res Lab Washington DC 20375 USA

ISBN: (纸本)9781628410587

In this work, simple, generic models of chemical sensing are used to simulate sensor array data and to illustrate the impact on overall system performance that specific design choices impart. The ability of multisensor systems to perform multianalyte detection (i.e., distinguish multiple targets) is explored by examining the distinction between fundamental design-related limitations stemming from mismatching of mixture composition to fused sensor measurement spaces, and limitations that arise from measurement uncertainty. Insight on the limits and potential of sensor fusion to robustly address detection tasks in realistic field conditions can be gained through an examination of a) the underlying geometry of both the composition space of sources one hopes to elucidate and the measurement space a fused sensor system is capable of generating, and b) the informational impact of uncertainty on both of these spaces. For instance, what is the potential impact on sensor fusion in an open world scenario where unknown interferants may contaminate target signals? Under complex and dynamic backgrounds, decision rules may implicitly become non-optimal and adding sensors may increase the amount of conflicting information observed. This suggests that the manner in which a decision rule handles sensor conflict can be critical in leveraging sensor fusion for effective open world sensing, and becomes exponentially more important as more sensors are added. Results and design considerations for handling conflicting evidence in Bayes and Dempster-Shafer fusion frameworks are presented. Bayesian decision theory is used to provide an upper limit on detector performance of simulated sensor systems.

关键词： multisensor systems data fusion interferants open-world sensing Dempster-Shafer theory

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IVvi 2.0: An intelligent vehicle based on computational perception

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EXPERT SYSTEMS WITH applications 2014年第17期41卷 7927-7944页

作者： Martin, D. Garcia, F. Musleh, B. Olmeda, D. Pelaez, G. Marin, P. Ponz, A. Rodriguez, C. Al-Kaff, A. de la Escalera, A. Armingol, J. M. Univ Carlos III Madrid Intelligent Syst Lab Leganes Spain

This paper presents the IVvi 2.0 a smart research platform to foster intelligent systems in vehicles. Computational perception in intelligent transportation systems applications has advantages, such as huge data from vehicle environment, among others, so computer vision systems and laser scanners are the main devices that accomplish this task. Both have been integrated in our intelligent vehicle to develop cutting-edge applications to cope with perception difficulties, data processing algorithms, expert knowledge, and decision-making. The long-term in-vehicle applications, that are presented in this paper, outperform the most significant and fundamental technical limitations, such as, robustness in the face of changing environmental conditions. Our intelligent vehicle operates outdoors with pedestrians and others vehicles, and outperforms illumination variation, i.e.: shadows, low lighting conditions, night vision, among others. So, our applications ensure the suitable robustness and safety in case of a large variety of lighting conditions and complex perception tasks. Some of these complex tasks are overcome by the improvement of other devices, such as, inertial measurement units or differential global positioning systems, or perception architectures that accomplish sensor fusion processes in an efficient and safe manner. Both extra devices and architectures enhance the accuracy of computational perception and outreach the properties of each device separately. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Intelligent transportation systems Computer vision IR detection Data fusion Vehicle positioning

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