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Moisture content online detection system based on multi-sensor fusion and convolutional neural network. [PDF]
Front Plant SciYang T +4 more
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Advanced Materials, EarlyView.The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
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Multi-sensor fusion: a perspective
Proceedings., IEEE International Conference on Robotics and Automation, 2002A survey of the state of the art in multisensor fusion is presented. Papers related to fusion have been surveyed and classified into six categories: scene segmentation, representation, 3-D shape, sensor modeling, autonomous robots, and object recognition. A number of fusion strategies have been employed to combine sensor outputs. These strategies range
Hackett, Jay K., Shah, Mubarak
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MULTI-SENSOR FUSION FOR VIDEO SEGMENTATION
International Journal of Pattern Recognition and Artificial Intelligence, 2014Video Segmentation is a fundamental task in computer vision. In many sequences, appearance does not provide enough information to solve the problem. Time-of-Flight cameras provide additional information, namely depth, that can be integrated as an additional feature in a segmentation approach.
Bjxf6rn Scheuermann, Bodo Rosenhahn
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Study of multi-sensor fusion for localization
2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2019This article covers implementation and testing of sensor data fusion for robot localization. System is capable of finding robot in known environment using LIDAR, odometry and RFID tags. The localization algorithm is based on the particle filter implemented in NVIDIA CUDA. It fuses 3D LIDAR, odometry and RFID data.
Michal Pelka +4 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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Proceedings of 1st International Conference on Image Processing, 2002
We present a new fusion algorithm based on a non-hierarchical fusion scheme. This new fusion algorithm uses a biologically inspired merging rule to combine multiple arbitrary sized sensor images into a single image without any parameter setting. Features from each individual sensor image are not only well retained in the fused image but also enhanced ...
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We present a new fusion algorithm based on a non-hierarchical fusion scheme. This new fusion algorithm uses a biologically inspired merging rule to combine multiple arbitrary sized sensor images into a single image without any parameter setting. Features from each individual sensor image are not only well retained in the fused image but also enhanced ...
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Multi-sensor fusion development
SPIE Proceedings, 2016The U.S. Army Research Laboratory (ARL) and McQ Inc. are developing a generic sensor fusion architecture that involves several diverse processes working in combination to create a dynamic task-oriented, real-time informational capability. Processes include sensor data collection, persistent and observational data storage, and multimodal and multisensor
Sheldon Bish +3 more
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2014
In the previous chapters, we have discussed issues concerning hardware, communication and network topologies for the practical deployment of Body Sensor Networks (BSNs). The pursuit of low power miniaturised distributed sensing under a patient’s natural physiological conditions has also imposed significant technical challenges on integrating ...
Guang-Zhong Yang +3 more
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In the previous chapters, we have discussed issues concerning hardware, communication and network topologies for the practical deployment of Body Sensor Networks (BSNs). The pursuit of low power miniaturised distributed sensing under a patient’s natural physiological conditions has also imposed significant technical challenges on integrating ...
Guang-Zhong Yang +3 more
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A toxonomy of multi-sensor fusion
Journal of Manufacturing Systems, 1992Abstract This paper develops a taxonomy for multi-sensor fusion and creates a general formulation to describe the process. Using this formulation as a guide, we identify and discuss the following classes of data for sensor fusion: uniquely determined, over determined, under determined, and sequential data.
Ralph Tanner, Nan K. Loh
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