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Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings., 2003
Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors.
A. Zomet, S. Peleg
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Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors.
A. Zomet, S. Peleg
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Multi sensor based indoor positioning
2017 International Conference on Computer Science and Engineering (UBMK), 2017Decreasing the effectiveness of GPS technology in indoor environments has necessitated the use of different and cheaper technologies in these environments. Today's indoor positioning systems tend to be developed using wireless medium technologies such as RFID, BLE, WLAN, Geo-Magnetism, UWB and mobile device technology.
GÜZEL, METEHAN +3 more
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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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2018
Low-cost IMU sensors typically show significant amounts of drift and offset. To analyze data from such sensors, additional information is required to compensate for those artefacts. Two main sensor fusion approaches have been proposed: stochastic filtering, often implemented in the form of an extended Kalman filter.
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Low-cost IMU sensors typically show significant amounts of drift and offset. To analyze data from such sensors, additional information is required to compensate for those artefacts. Two main sensor fusion approaches have been proposed: stochastic filtering, often implemented in the form of an extended Kalman filter.
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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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2004
The research on large sensor networks along with the trend to miniaturization and the realization of an increasing number of components on a single chip (system on chip, SOC) create a strong demand for systems that combine multiple sensors or sensor-arrays together with their associated circuitry and interface units in a single-chip solution.
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The research on large sensor networks along with the trend to miniaturization and the realization of an increasing number of components on a single chip (system on chip, SOC) create a strong demand for systems that combine multiple sensors or sensor-arrays together with their associated circuitry and interface units in a single-chip solution.
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Multi-Sensor Multi-Network Positioning
2012This chapter discusses methods for positioning utilizing multiple sensors and networks. For achieving seamless positioning and navigation in a smartphone from satellite signal denied areas such as indoors to everywhere outdoors, various technologies to replace and assist satellite navigation, and flexible integration algorithms for measurement fusion ...
Heidi Kuusniemi, Yuwei Chen, Liang Chen
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Proceedings of the 2015 ACM International Symposium on Wearable Computers - ISWC '15, 2015
This paper presents a method to synchronize the data streams from multiple sensors, including wearables and sensors in the environment. Our approach exploits common events observed by the sensors as they interact. We detect physical and cyber couplings between the sensor data streams and determine which couplings will minimize the overall clock drift ...
Terrell R. Bennett +2 more
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This paper presents a method to synchronize the data streams from multiple sensors, including wearables and sensors in the environment. Our approach exploits common events observed by the sensors as they interact. We detect physical and cyber couplings between the sensor data streams and determine which couplings will minimize the overall clock drift ...
Terrell R. Bennett +2 more
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IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Spatio-triangulation process, based on a multisensor block adjustment, is applied to 40 different VIR and SAR images: Landsat-7 ETM, panchromatic SPOT-4 HRV, multiband ASTER, RADARSAT (fine, standard, wide modes) and ERS-1. The images were acquired over Rocky Mountains, Canada from different view/look angles (nadir, across- and in-track) creating ...
T. Toutin, R. Chenier, Y. Carbonneau
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Spatio-triangulation process, based on a multisensor block adjustment, is applied to 40 different VIR and SAR images: Landsat-7 ETM, panchromatic SPOT-4 HRV, multiband ASTER, RADARSAT (fine, standard, wide modes) and ERS-1. The images were acquired over Rocky Mountains, Canada from different view/look angles (nadir, across- and in-track) creating ...
T. Toutin, R. Chenier, Y. Carbonneau
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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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