Results 251 to 260 of about 199,155 (292)

Multi Sensor Data Fusion With Risk Assessment

2019 International Conference on Advanced Electrical Engineering (ICAEE), 2019
In robotic field, autonomous navigation safely is a timely subject. Therefore, many researchers try to elaborate a reliable system to respond this exigency. Among these systems, we mention multi sensor data fusion. The data fusion is an active field of research, It is almost applied in all domains. it is resolved by several manner. The best represented
Elhaouari Kobzili, Cherif Larbes, Billel Kellalib, Fethi Demim, Ahmed Allam, Abdelghani Boucheloukh   +5 more
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Effective fusion of distorted multi-sensor data

Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003
A framework for the detection of bandlimited signals by intelligently fusing the multi-nonlinear sensor data is developed. Though most sensors used are assumed to be linear, none of them individually or in series give the truly linear relationship and errors are inevitable as a result of the assumption of linearity.
S. Suranthiran, S. Jayasuriya
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Hierarchical Robot Multi-Sensor Data Fusion System

1990
The objective of this paper is to develop a knowledge-based hierarchical paradigm for the effective fusion of multiple sensors into the operation of an intelligent system.
Ren C. Luo, Min-Hsiung Lin
openaire   +1 more source

Multi-Sensor Data Fusion (MSDF)

2017
The Data Fusion Model maintained by the JDL (Joint Directors of Laboratories) Data Fusion Group is the most widely-used method for categorizing data fusion-related functions. This paper discusses the current effort to revise and expand this model to facilitate the cost-effective development, acquisition, integration and operation of multi-sensor/multi ...
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An introduction to multi-sensor data fusion

ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187), 2002
Multi-sensor data fusion is an emerging technology applied to Department of Defense (DoD) areas such as automated target recognition, battlefield surveillance, and guidance and control of autonomous vehicles, and to non-DoD applications such as monitoring of complex machinery, medical diagnosis, and smart buildings.
J. Llinas, D.L. Hall
openaire   +1 more source

Clustering Methods for Multi-sensor Data Fusion

2012 International Conference on Industrial Control and Electronics Engineering, 2012
In the network-centric warfare, the complete battlefield situation information and attack information for weapons can be collected and calculated by multiple sensor platforms, and the results can be distributed to the command and control systems and weapon platforms to complete target attack tasks.
Liu Han, Zhang Lei
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Efficient data fusion for multi-sensor management

2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542), 2002
This paper is concerned with the development of a general framework for the management of multiple sensors in tracking a single target. To achieve this aim we draw on concepts from data fusion, particle filtering and heuristic optimization. Previous work gave the multi-sensor fusion management algorithm which provided a rigid scheme under which sensors
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Multi-sensor data fusion using neural networks

1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, 2002
A general approach to the use of neural networks for data fusion is outlined. The discussion begins with examples of data fusion problems and a pattern recognition example is given to illustrate the concepts involved in data fusion. The differences between using post- and pre-detection signals and the advantages of using the latter are discussed.
D.W. Fincher, D.F. Mix
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Sensor Modeling and Multi-Sensor Data Fusion

2005
Abstract : This research report presents a novel strategy to develop a sensor model based on a probabilistic approach that would accurately provide information about individual sensor's uncertainties and limitations. The strategy also establishes the dependence of sensor's uncertainties on some of environmental parameters or parameters of any feature ...
Manish Kumar, Devendra P. Garg
openaire   +1 more source

UAV-based multi-sensor data fusion processing

International Journal of Image and Data Fusion, 2010
This article presents a mathematical model for an Unmanned Aerial Vehicle (UAV)-based, multi-sensor data integration. As background, this article first discusses the design and the implementation of a low-cost civilian UAV system, including its field flight validation, system calibration and mapping accuracy evaluation.
Guoqing Zhou, Scott Reichle
openaire   +1 more source