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A Method to Determine Basic Probability Assignment in Context Awareness of a Moving Object

Donghyok Suh, Juhye Yook
2013 International Journal of Distributed Sensor Networks  
The study showed that a pedestrian could recognize a moving object with the method of determining BPA through multi-sensor data fusion conducted in the study.  ...  This was used to determine BPA for multi-sensor data fusion so that a pedestrian, who walked or moved, could recognize a moving object.  ...  A moving observer was equipped with three different sensors for processing multi-sensor data fusion by using DST after acquiring data from the sensors of a moving object encountering on the road.  ... 
doi:10.1155/2013/972641 fatcat:ld3fkgecqnhs5mha2wwcbwse3e

A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics [article]

David Verstraete, Enrique Droguett, Mohammad Modarres
2019 arXiv   pre-print
These systems handle big machinery data and multi-sensor fusion and integrate remaining useful life prognostic capabilities. We introduce a deep adversarial learning approach to damage prognostics.  ...  The proposed framework was applied to a public multi-sensor data set of turbofan engines to demonstrate its ability to predict remaining useful life.  ...  These systems handle big machinery data and multi-sensor fusion and integrate remaining useful life prognostic capabilities.  ... 
arXiv:1909.10246v2 fatcat:6llmsesznbhshkqfbpaobdncti

Risk Assessment of the Mine Environment Information Based on Multi-Sensor Information Fusion

Song Qiang, Wang Ai-min, Shi Hui-chao
2011 Energy Procedia  
environment of many characteristics, based on multi-sensor information fusion (MSF) of the coal mine environment Risk assessment of the new algorithm, which adopts BP neural network algorithm and establishes  ...  The application result shows that the prediction with this method can achieve higher better utility and expensive value.  ...  In the multi-sensor system, i X is the measurement data provided by the ith sensor, j X is the measurement data provided by the sensor, i X and j X comply with Gauss distribution.  ... 
doi:10.1016/j.egypro.2011.10.208 fatcat:obwtlfea2zgdtngre65u6c6fcy

A peer-to-peer collaboration framework for multi-sensor data fusion

Panho Lee, Anura P. Jayasumana, H.M.N. Dilum Bandara, Sanghun Lim, V. Chandrasekar
2012 Journal of Network and Computer Applications  
In the multi-sensor data fusion, data needs to be combined in such a manner that the real-time requirement of the sensor application is met.  ...  In addition, the desired accuracy in the result of the multi-sensor fusion has to be obtained by selecting a proper set of data from multiple radar sensors.  ...  A multi-sensor data fusion application needs to continuously collect and integrate data generated from a distributed group of sensor nodes.  ... 
doi:10.1016/j.jnca.2011.12.005 fatcat:px4c2f2oibcehpjbkba6mgelp4

Fusion of hyperspectral and ground penetrating radar to estimate soil moisture [article]

Felix M. Riese, Sina Keller
2018 arXiv   pre-print
We propose two simulation approaches to extend a given multi-sensor dataset which contains sparse GPR data.  ...  In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data to estimate soil moisture  ...  Since it is extremely timeconsuming and expensive to cover large areas with these devices, remote sensing techniques like hyperspectral sensors are deployed, even partly on drones [2, 3] .  ... 
arXiv:1804.05273v3 fatcat:zdznwywr3vcyrgosf2bon66nui

Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion [article]

Sebastian Haan, Fabio Ramos, Dietmar Müller
2020 arXiv   pre-print
be applied to a variety of remote sensing problems with linear forward models - ranging from constraints limiting surface access for data acquisition to adaptive multi-sensor positioning.  ...  We propose a probabilistic framework for multi-objective optimisation and inverse problems given an expensive cost function for allocating new measurements.  ...  data fusion and forward model, (2) Posterior model generation of 3D multi-geophysical properties.  ... 
arXiv:2010.05386v1 fatcat:y5wmtif5t5cadkewmfu56io2gu

Large-scale terrain modeling from multiple sensors with dependent Gaussian processes

S Vasudevan, F Ramos, E Nettleton, H Durrant-Whyte
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
This paper presents significant advances to data fusion for stochastic processes modeling spatial data, demonstrated in large-scale terrain modeling tasks.  ...  We explore dependent Gaussian processes to provide a multi-resolution representation of space and associated uncertainties, while integrating sensors from different modalities.  ...  Fusion of multiple multi-modal datasets This experiment demonstrates data fusion of multiple multi-sensor data (RIEGL laser scanner and GPS survey) acquired from a large mine pit.  ... 
doi:10.1109/iros.2010.5650769 dblp:conf/iros/VasudevanRND10 fatcat:4imnx5iarfcztebkznaquizxz4

Random set theoretic soft/hard data fusion framework

Bahador Khaleghi, Fakhreddine Karray
2014 IEEE Transactions on Aerospace and Electronic Systems  
A well-designed data fusion method should incorporate multiple time scales in order to deal with such timing variations in data.  ...  Nonetheless, it was shown in [131] that this approach along with many other multi-lag OOSM methods are usually very expensive in terms of computational complexity and storage.  ... 
doi:10.1109/taes.2014.120621 fatcat:r2uxjyakejb4xjdz4emp7faiiq

Multibiometric Systems: Overview, Case Studies, and Open Issues [chapter]

Arun Ross, Norman Poh
2009 Advances in Pattern Recognition  
The role of using ancillary information such as biometric data quality and soft biometric traits (e.g., height) to enhance the performance of these systems is discussed.  ...  Multibiometric systems combine the information presented by multiple biometric sensors, algorithms, samples, units, or traits in order to establish the identity of an individual.  ...  Multi-sensor systems: Multi-sensor systems employ multiple sensors to capture a single biometric trait of an individual.  ... 
doi:10.1007/978-1-84882-385-3_11 fatcat:xipdozpwjbhzvexgftr2cdtfrq

A systematic review and meta-analysis of Digital Elevation Model (DEM) fusion: pre-processing, methods and applications [article]

Chukwuma Okolie, Julian Smit
2022 arXiv   pre-print
However, the special case of 2.5D/3D Digital Elevation Model (DEM) fusion has not been addressed till date. DEM fusion is a key application of data fusion in remote sensing.  ...  In response, this paper provides a systematic review of DEM fusion: the pre-processing workflow, methods and applications, enhanced with a meta-analysis.  ...  some data arrangement and indexing tasks, CAD designs and graphics.  ... 
arXiv:2203.15026v1 fatcat:rpobo2oxyfhv7olwe2d653dklu

Vehicle Classification on Multi-Sensor Smart Cameras Using Feature- and Decision-Fusion

Andreas Klausne, Allan Tengg, Bernhard Rinner
2007 2007 First ACM/IEEE International Conference on Distributed Smart Cameras  
into an embedded multi-sensor node.  ...  Finally we demonstrate the feasibility of our multilevel data fusion approach with experimental results of our "vehicle classification" case study.  ...  Second, multi-level data fusion is performed by combining data from different sensors at different levels of abstraction.  ... 
doi:10.1109/icdsc.2007.4357507 dblp:conf/icdsc/KlausnerTR07 fatcat:dmefg4lzkrb7zlnj4mxiqdqx2i

A Data Fusion-Based Fire Detection System

Ying-Yao TING, Chi-Wei HSIAO, Huan-Sheng WANG
2018 IEICE transactions on information and systems  
Field tests validate the efficiency and accuracy of the proposed system. key words: multi-sensor, short message service, data fusion, Dempster-Shafer theory  ...  To prevent constraints or defects of a single sensor from malfunctions, this paper proposes a fire detection system based on the Dempster-Shafer theory with multi-sensor technology.  ...  In previous literature, there has been a great deal of research on multi-sensor technology with data fusion. In particular, Wang et al.  ... 
doi:10.1587/transinf.2016iip0005 fatcat:357fd4acxfdwdkawx74oymczcu

Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion [article]

Feng Ye, Zhijie Xia, Min Dai, Zhisheng Zhang
2020 arXiv   pre-print
The proposed method is applied directly to the high-dimensional tensorial data. Features are extracted and combined with multivariate control charts to monitor multi-channel data.  ...  In many mechatronic systems, multiple signals are acquired by different sensor channels (i.e. multi-channel data) which can be represented by high-order arrays (tensorial data).  ...  This paper proposes a real-time fault detection and process control based on multi-channel sensor data fusion.  ... 
arXiv:2005.12585v1 fatcat:lmonnii4lvgabjufbinrfyr6c4

Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

Sungho Kim, Woo-Jin Song, So-Hyun Kim
2018 Remote Sensing  
Remote Sens. 2018, 10, 72 2 of 24 by considering both feature extractors and classifiers to cope with IR variations.  ...  The second weight (β) can measure the online sensor reliability based on the score distribution for a test target image.  ...  Author Contributions: The contributions were distributed between authors as follows: Sungho Kim wrote the text of the manuscript, programmed the target recognition and fusion methods.  ... 
doi:10.3390/rs10010072 fatcat:lxjewftaarelrblqcxusqvb7tu

Blind model-based fusion of multi-band and panchromatic images

Qi Wei, Jose Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon Godsill
2016 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)  
The formulated optimization problem associated with the image fusion can be attacked efficiently using a recently developed robust multi-band image fusion algorithm in [1].  ...  The Gaussian and total variation priors have been used to regularize the ill-posed fusion problem.  ...  ACKNOWLEDGMENTS The authors would like to thank Deimos Imaging for acquiring and providing the data used in this study, and the IEEE GRSS Image Analysis and Data Fusion Technical Committee.  ... 
doi:10.1109/mfi.2016.7849461 dblp:conf/mfi/WeiBDTG16 fatcat:xnp7lwoafjfxhmeasic2atfzpe
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