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Advanced Healthcare Materials, EarlyView.This study presents the first human neural organoid culture model capable of rapidly exhibiting long‐distance neural network propagation, thus delivering a system to experimentally investigate large‐scale communication during normal and diseased states.
Megh Dipak Patel +6 more
wiley +1 more source
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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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Distributed multi-sensor fusion
SPIE Proceedings, 2008McQ has developed a broad based capability to fuse information in a geographic area from multiple sensors to build a better understanding of the situation. The paper will discuss the fusion architecture implemented by McQ to use many sensors and share their information.
Peter Scheffel +3 more
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Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480), 2003
This paper presents a new approach to solve the sensor fusion problem. This new approach is called multi-sensor/knowledge fusion (MSKF) which takes into account not only the fusion of information between multiple sensory systems but also the fusion between sensory information with system's prior knowledge of its environment. This MSKF architecture is a
C. Hiransoog, C.A. Malcolm
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This paper presents a new approach to solve the sensor fusion problem. This new approach is called multi-sensor/knowledge fusion (MSKF) which takes into account not only the fusion of information between multiple sensory systems but also the fusion between sensory information with system's prior knowledge of its environment. This MSKF architecture is a
C. Hiransoog, C.A. Malcolm
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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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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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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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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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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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Human-aided multi-sensor fusion
2005 7th International Conference on Information Fusion, 2005This paper discusses some fundamental requirements for a human-aided multi-sensor fusion system, and proposes an approach that implements such a system. This approach involves integration of the probabilistic argumentation system and the structural evidential argumentation system, which both are variants of the Dempster-Shafer belief function theory ...
M. Chan +5 more
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