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A Multi-sensor Fusion Framework in 3-D
2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013The majority of existing image fusion techniques operate in the 2-d image domain which perform well for imagery of planar regions but fails in presence of any 3-d relief and provides inaccurate alignment of imagery from different sensors. A framework for multi-sensor image fusion in 3-d is proposed in this paper.
Vishal Jain +2 more
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Deep Transform Learning for Multi-Sensor Fusion
2020 28th European Signal Processing Conference (EUSIPCO), 2021This paper presents a Deep Transform Learning based framework for multi-sensor fusion. Deep representations are learnt for each of the sensors by stacking one transform after another. Subsequently, a common transform is utilized to fuse the deep representations of all sensors to estimate the output.
Saurabh Sahu +3 more
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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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Recursive track fusion for multi-sensor surveillance
Information Fusion, 2004Abstract Most of the track fusion work documented in the literature involves a post-processing, batch approach to track-to-track association. Also, it is generally assumed that, due to bandwidth constraints, sensor contacts are unavailable to the track fusion system.
Stefano Coraluppi, Craig Carthel
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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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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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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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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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