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Advances in Multi-Sensor Data Fusion: Algorithms and Applications [PDF]
Sensors, 2009 With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a
Jingying Fu +2 more
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An Estimator for Multi-Sensor Data Fusion
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006In this paper, we examine binary hypothesis testing and parameter estimation problem in a sensor network. We address the problem of detection and also the estimation of the underlying parameter at the fusion center by optimally combining the test statistics sent by different sensors.
Chandrashekhara Thejaswi P. S. +4 more
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System identification for multi-sensor data fusion
2015 American Control Conference (ACC), 2015In this paper we discuss the problem of combining sensor information for two main detection problems: 1) two variants of a spatial search problem and 2) a fault detection problem for a three tank system (TTS). In all cases the assumption is that data may be collected from multiple sensors.
Karla Hernandez, James C. Spall
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Model-based multi-sensor data fusion
Proceedings 1992 IEEE International Conference on Robotics and Automation, 2003The authors describe an algorithm for implementing a multisensor system in a model-based environment with consideration of the constraints. Based on an environment model, geometric features and constraints are generated from a CAD model database. Sensor models are used to predict sensor response to certain features and to interpret raw sensor data.
Wu Wen, Hugh F. Durrant-Whyte
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Statistical modelling of multi-sensor data fusion
2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017Increasing the reliability of sensor data, especially in collision avoidance applications, is of great importance and involves the development of different sensor fusion methods. To reduce the limitations and disadvantages of common fusion methods and their challenges with respect to highly automated driving, this paper proposes a statistical model of ...
M. Ahmadi-Pour +2 more
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Effective fusion of distorted multi-sensor data
Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003A 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.
Sugathevan Suranthiran +1 more
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Multi-sensor data fusion architecture
Proceedings. Second International Conference on Creating, Connecting and Collaborating through Computing, 2005In this work we present multi-sensor data fusion architecture. The objective of the architecture is to obtain fused measured data that represent the measured parameter as accurate as possible. The architecture is based on the use of adaptive Kalman filter formed by using Kalman filter and fuzzy logic techniques.
A.H.G. Al-Dhaher, D. Mackesy
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A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
Information Fusion, 2020 Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing, storage, computation, and transmission capabilities. When data is obtained from multiple devices, multi-sensor fusion is desirable to transform potentially erroneous sensor ...
Muhammad Muzammal +2 more
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Fusion of multi-sensor data: a geometric approach
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 2002A geometric approach is presented to solve data fusion problems. The approach uses bounded-error data parameter estimation rather than the usual statistical approach. Updating the location (orientation and position) of a mobile robot in a known polygonal environment is shown as example.
A. Preciado +3 more
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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), 2002Multi-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
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