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On the divergence of information filter for multi sensors fusion
Information Fusion, 2016Multi sensor bearing only target tracking problem is presented here.The paper addresses the divergence in information filter after initial convergence for this case.The information update equations of the information filter are modified using fuzzy functions to control divergence.The divergence in the modified filter is much smaller compared to ...
Deepa Elizabeth George, A. Unnikrishnan
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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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Multi-sensor information processing and fusion module
2013 Seventh International Conference on Sensing Technology (ICST), 2013In order to satisfy the character of multi-sensor system which has a large amount of data and strict requirement of real time response, a module based on FPGA & DSP is designed for multi-sensor information processing and fusion after considering that FPGA (EP2C8T144C8N) has high-speed, complex logic control ability and floating-point DSP (TMS320C6713B)
Jiebing Yan +3 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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Multi-sensor fusion: an Evolutionary algorithm approach
Information Fusion, 2006Modern decision-making processes rely on data coming from different sources. Intelligent integration and fusion of information from distributed multi-source, multi-sensor network requires an optimization-centered approach. Traditional optimization techniques often fail to meet the demands and challenges of highly dynamic and volatile information flow ...
Igor V. Maslov, Izidor Gertner
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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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Multi sensor track fusion performance metrics
2016 24th Signal Processing and Communication Application Conference (SIU), 2016Track fusion is one of the primary features in command and control systems. Track information of different sensors are combined to have a more accurate result. Criterions and metrics are required to evaluate and compare different fusion methods during development. This paper summarizes some important track fusion metrics.
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An Improved Multi-sensor Image Fusion Algorithm
2014 International Conference on Identification, Information and Knowledge in the Internet of Things, 2014Acquired digital images are often corrupted by the lack of camera focus, faulty illumination, or missing data. An algorithm is presented for fusion of multiple corrupted images of a scene using the lifting wavelet transform. The method employs adaptive fusion arithmetic based on matrix completion and self-adaptive regional variance estimation ...
Zhuozheng Wang, John R. Deller Jr.
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Multi-Sensor Measurement and Data Fusion
IEEE Instrumentation & Measurement Magazine, 2022Zheng Liu 0002 +3 more
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Possibilistic multi-sensor fusion for humanitarian demining
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007We propose a method for combining humanitarian mine detection sensors based on possibility theory. Firstly, different features are extracted from the sensor data. Possibility distributions are then derived from the features based on prior information. After that, the combination of possibility degrees is performed in two steps, on separate sensor level
Nada Milisavljevic, Isabelle Bloch
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