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

共 2100 条记录，以下是1321-1330 订阅

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Experimental characterization of synchronization protocols for wireless networks

Experimental characterization of synchronization protocols f...

引用

IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS)

作者： M. De Santo L. Ferrigno V. Paciello A. Pietrosanto DIIIE University of Salerno Fisciano SA Italy DAEIMI University of Cassino Cassino FR Italy

Nowadays more and more measurement applications where sensor nodes cooperate to realize a data fusion process are entrusted to wireless sensor networks (WSN). Data fusion to be accurate requires that nodes be referred to a common clock and among themselves. In this scenario node synchronization got a crucial research topic and even sophisticated synchronization algorithms can be easily found in literature. Not a few others show to be especially designed for low cost, low memory and low power architectures. Their performance is usually evaluated either through analytical considerations or in simulation environments, but in some cases where ad hoc radio systems have been adopted. This paper makes a first step toward an experimental characterization of synchronization protocols that hold into account also influence factors which arise when commercial wireless communication busses as WiFi, BlueTooth (BT), ZigBee are adopted.

关键词： Synchronization Wireless communication Wireless sensor networks Ad hoc networks Protocols Instruments Probability density function

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Genetic machine learning approach for data fusion applications in dense Wireless sensor Networks

Genetic machine learning approach for data fusion applicatio...

引用

International conference on Emerging Technologies and Factory Automation (ETFA)

作者： A. R. Pinto Benedito Bitencort M. A. R. Dantas Carlos B. Montez Francisco Vasques Automation and Systems Department Federal University of Santa Catarina Brazil Computer Science Department Federal University of Santa Catarina Brazil Mechanical Engineering Departmen University of Porta Portugal

Wireless sensor networks (WSN) are being targeted for use in applications like security, resources monitoring and factory automation. However, the reduced available resources raise a lot of technical challenges. Self-organization in WSN is a desirable characteristic that can be achieved by means of data fusion techniques when delivering reliable data to users. In this paper it is proposed a genetic machine learning algorithm (GMLA) approach that makes a trade-off between quality of information and communication efficiency. GMLA is based on genetic algorithms and it can adapt itself dynamically to environment modifications. The main target of the proposed approach is to achieve self-organization in a WSN application with data fusion. Simulations demonstrate that the proposed approach can optimize communication efficiency in a dense WSN.

关键词： Wireless sensor networks Monitoring sensors Classification algorithms Adaptation model Genetic algorithms Machine learning algorithms

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Min Loading Max Reusability fusion Classifiers for sensor Data Model

Min Loading Max Reusability Fusion Classifiers for Sensor Da...

引用

International conference on sensor Technologies and applications, sensorComm

作者： Vasanth Iyer Rama Murthy Garimella M. B. Srinivas Center for VLSI and Embedded System Indian Institute of Information Technology Hyderabad India Communications and Networking Research Center Indian Institute of Information Technology Hyderabad India Computer Science and Engineering Indian Institute of Information Technology Hyderabad India

ISBN: (纸本)9781424432127

With the deployment of sensor network applications there is lot of breakthrough in digital or smart sensor designs. These smart sensors have a dedicated processor which allows interfacing to many sensors which measure ambient readings of temperature, pressure and humidity of the environment. These sensors once calibrated they function independently running using a self-powered battery which operates 220-mA hours of operation and smart sensor uses 2.45 uA to calibrate and measure the values giving a lifetime of 220 mAh/2.45 muA=10.25 years. A sensor network typically uses 100 to 1,000 of these sensor nodes to monitor the measured values in a given region of deployment. The modeled network use data forwarding, energy conservation and fault tolerance and some of the deployment use secure communication as these are wireless based sensors. This networking model is optimized to use very less central coordination as it is an infrastructure less protocol. Due to the nature of the sensor model we develop two categories of fusion techniques. One is purely based on distributed quantitative routing which is defined by min node loading and max node reusability fusion technique. This fusion technique initially classifies the robustness of the distributed algorithms during its lifetime by defining them as tamely faulty sensors and widely faulty sensors. This model is further qualitatively extended for decision making defined by min data redundancy and max sensor fault-tolerant using a measurement independent probability data model for each clustering algorithm.

关键词： Routing Classification algorithms Clustering algorithms Complexity theory Magnetic heads Fault tolerance Fault tolerant systems

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A Fuzzy fusion Algorithm Based on Clustering Model for Wireless sensor Networks

A Fuzzy Fusion Algorithm Based on Clustering Model for Wirel...

引用

International conference on Pervasive Computing and applications (ICPCA)

作者： Wanrong Wu Qiangping Wang Wei Wang Yan Zhao Ke Wang School of Computer Science and Technology China University of Mining and Technology Xuzhou China

In wireless sensor networks, the accuracy of data fusion is likely to be contaminated by the environment affects nearby the nodes. In this paper, an appropriate fusion model and algorithm is given to solve this problem. According to the clustering fusion model, a weighted fuzzy fusion algorithm based on fuzzy reasoning for cluster heads, is proposed. The advantage of this algorithm is to vary weight value of each cluster head and dynamically update the weight values of each cluster head by using membership function. The accuracy of the proposed algorithm is improved evidently compared with the traditional algorithm.

关键词： Clustering algorithms Wireless sensor networks Mobile agents Magnetic heads Fuzzy reasoning Delay effects Space technology Computer science Electronic mail Algorithm design and analysis

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Merging of range images for inspection or safety applications

Merging of range images for inspection or safety application...

引用

conference on Two- and Three-Dimensional Methods for Inspection and Metrology VI

作者： Mure-Dubois, James Huegli, Heinz Univ Neuchatel Inst Microtechnol CH-2000 Neuchatel Switzerland

ISBN: (纸本)9780819472861

Range imagers provide useful information for part inspection, robot control, or human safety applications in industrial environments. However, some applications may require more information than range data from a single viewpoint. Therefore, multiple range images must be combined to create a three-dimensional representation of the scene. Although simple in its principle, this operation is not straightforward to implement in industrial systems, since each range image is affected by noise. In this paper, we present two specific applications where merging of range images must be performed. We use the same processing pipeline for both applications : conversion from range image to point clouds, elimination of degrees of freedom between different clouds, validation of the merged results. Nevertheless, each step in this pipeline requires dedicated algorithms for our example applications. The first application is high resolution inspection of large parts, where many range images are acquired sequentially and merged in a post-processing step, allowing to create a virtual model of the part observed, typically larger than the instrument's field of view. The key requirement in this application is high accuracy for the merging of multiple point clouds. The second application discussed is human safety in a human/robot environment: range images are used to ensure that no human is present in the robot's zone of operation, and can trigger the robot's emergency shutdown when needed. In this case, range image merging is required to avoid uncertainties due to occlusions. The key requirement here is real-time operation, namely the merging operation should not introduce a, significant latency in the data processing pipeline. For both application cases, the improvements brought, by merging multiple range images are clearly illustrated.

关键词： 3D vision range imaging sensor fusion calibration high resolution inspection time of flight RANSAC

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Multi-sensor data fusion in automotive applications

Multi-sensor data fusion in automotive applications

引用

International conference on Sensing Technology, ICST

作者： Thomas Herpel Christoph Lauer Reinhard German Johannes Salzberger Department of Computer Science 7-Computer Networks and Communication Systems Friedrich-Alexander-Universitat Erlangen-Nuremberg Erlangen Germany Department of Safety Electronics Audi AG Ingolstadt Germany

The application of environment sensor systems in modern - often called ldquointelligentrdquo - cars is regarded as a promising instrument for increasing road traffic safety. Based on a context perception enabled by well-known technologies such as radar, laser or video, these cars are able to detect threats on the road, anticipate emerging dangerous driving situations and take proactive actions for collision avoidance. Besides the combination of sensors towards an automotive multi-sensor system, complex signal processing and sensor data fusion strategies are of remarkable importance for the availability and robustness of the overall system. In this paper, we consider data fusion approaches on near-raw sensor data (low-level) and on pre-processed measuring points (high-level). We model sensor phenomena, road traffic scenarios, data fusion paradigms and signal processing algorithms and investigate the impact of combining sensor data on different levels of abstraction on the performance of the multi-sensor system by means of discrete event simulation.

关键词： Automotive applications sensor systems sensor fusion sensor phenomena and characterization Road safety Laser radar Instruments Vehicle safety Laser fusion Laser modes

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Kernel-based learning of decision fusion in wireless sensor networks

Kernel-based learning of decision fusion in wireless sensor ...

引用

International conference on Information fusion

作者： Gernot Fabeck Rudolf Mathar Institute of Theoretical Information Technology RWTH Aachen University Aachen Germany

The problem of decision fusion in wireless sensor networks for distributed detection applications has mainly been considered in scenarios where sensor observations are conditionally independent and both local sensor statistics as well as wireless channel conditions are available for fusion rule design. In this paper, kernel-based learning algorithms for the design of decision fusion rules are presented when no such prior knowledge is available. The fusion center receives a collection of labeled decision vectors from the sensor nodes and employs a discrete version of the method of kernel smoothing which exploits the ordinal nature of local sensor decisions. The aim is to arrive at fusion rules which are Bayes risk consistent, i.e., asymptotically optimal as the number of training samples tends to infinity. The kernel-based learning approach is applied to the problem of distributed detection of a deterministic signal in correlated Gaussian noise. Numerical results obtained by simulation show that the kernel-based fusion rules show good performance also for finite sample sizes.

关键词： Kernel Joints Smoothing methods Training Wireless sensor networks Correlation Noise measurement

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Quantization for distributed detection under link outages

Quantization for distributed detection under link outages

引用

Asilomar conference on Signals, Systems & Computers

作者： Ying Lin Department of Electrical and Computer Engineering State University of New York New Paltz NY USA

In this paper, we address the design of binary sensor quantizers for decentralized detection in wireless sensor networks (WSN). The objective is to develop robust quantizers in the events of link outages and/or sensor failures for a K-sensor fusion model (K > 2). To this end, we propose two different design procedures. The first is formulated as a constrained optimization problem and achieves guaranteed performance given any subset of local decisions available at a fusion center. The second approach is a channel-aware design using an explicit erasure channel model, which provides a balanced detection performance under transmission loss. We show that for both designs the optimal quantizers are in the forms of likelihood ratio tests. The corresponding thresholds can be determined through iterative algorithms. We further demonstrate that the channel-aware approach is more practical and suitable for large-scale WSN applications in terms of low implementation complexity.

关键词： Quantization Wireless sensor networks Robustness sensor fusion Constraint optimization Performance loss Propagation losses Testing Iterative algorithms Large-scale systems

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Mobile Agent-based Remote Vision sensor fusion

Mobile Agent-based Remote Vision Sensor Fusion

引用

IEEE/ASME International conference on Mechtronic and Embedded Systems and applications, MESA

作者： Stephen S. Nestinger David Ko Alex Rumer Harry H. Cheng Department of Mechanical and Aeronautical Engineering University of California Davis Davis CA USA Department of Mechanical and Aeronautical Engineering University of California슠Davis Davis CA USA

Vision systems have become popular for remote vision sensing in geographically distributed environments due to vast amount of information they provide. However, remote vision sensors are generally plagued with power and communication bandwidth constraints. Mobile agent technology is a salient solution to geographically distributed and dynamic domains that require subsystems to interact with each other. Mobile agent technology increases power efficiency by reducing communication requirements and increases fusion processing by allowing in-situ integration of on-demand visual processing and analysis algorithms. A mobile agent can dynamically migrate from one vision sensor to another and combine all necessary sensor data in a desired manner specific to the system requesting the data. This paper presents a remote vision fusion architecture based on mobile agent technology that provides a flexible vision fusion solution. The architecture utilizes the Mobile-C library as a basis for the mobile agency along with OpenCV and ImageMagick for vision processing and manipulation. An application example is provided that demonstrates the benefit of using mobile agents for vision fusion in remote vision systems. The validity of the architecture is proven in an experimental setup with a retrofitted robotic cell comprised of a Puma 560, IBM 7575, a conveyor system, and a vision system.

关键词： sensor fusion Machine vision sensor systems Mobile agents Robot sensing systems Mobile robots Robot vision systems Mobile communication Electrical equipment industry Industrial control

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Multiple Mobile Robots Map Building Based on DSmT

Multiple Mobile Robots Map Building Based on DSmT

引用

IEEE conference on Robotics, Automation and Mechatronics

作者： Peng Li Xinhan Huang Min Wang Xiangjin Zeng Intelligent Control and Robotics Laboratory Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer II mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.

关键词： Mobile robots Buildings Multirobot systems Sonar applications sensor fusion sensor phenomena and characterization sensor systems and applications System performance Mobile communication Real time systems

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