Examples of using Data fusion in English and their translations into Chinese
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Data Fusion Systems.
Currently I am working on Data Fusion. .
Carry out multi-source data fusion and atmospheric reanalysis experiments.
He was the winner of the IEEE GRSS 2014 Data Fusion Contest.
Detection, data fusion, recognition or identification equipment; and sensor integration equipment;
For the anti-aircraft component,Turkey needs an overall picture for data fusion.
Sensor data fusion: A key component for enhancing gaming, navigation and virtual reality experiences.
This book covers sensors and multiple sensor systems,including sensor networks and multi-sensor data fusion.
Data Fusion Systems combine camera and radar for high level safety systems and partially to fully automated functions.
Retailers can accomplish this using integrated sensor platforms, data fusion, and people and product interaction analytics.
Multivariate data fusion is a difficult, and it is also a relatively new discipline and research direction in machine learning.
His current research interests include machine learning,symbolic data fusion, computational ethics, computer ethics and digital humanities.
As a result, companies like MathWorks offer toolsets that allow engineers to design, simulate,and analyze systems with multi-sensor data fusion.
Together with video cameras and Cognitive Low level Data Fusion technology, the cost of the radar will not exceed a few hundred dollars.
(b) A disaster mitigation system, using scientific, Earth observation,data collection and mapping satellites coupled with a near-real-time data fusion and distribution system;
Further development to Side Vision Assist system: Data fusion, AI and interconnection allow for an intelligent and active system that helps prevent accidents while turning.
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems,image and data fusion techniques are gaining more and more importance.
Improved data management and interoperability, data fusion, automated analysis support, and visualization technologies will all be essential to achieving manageable cognitive loads and enhanced decision-making.
Similarly, the Chinese People's Liberation Army(PLA)is developing algorithms that enable data fusion, enhance intelligence analysis, and support command decision-making.
These transformations increase the integration of high-tech systems within the vehicle, including ultrasonic sensors, radars, cameras,laser scanners, data fusion and polymorphous data processing software.
How to download data from Knowledge Fusion Map?
How does a Fusion Drive move data?
Its integrated sensors, sensor fusion and data linking provide the pilot with unprecedented situational awareness.
Multi-source spatial and environmental data assimilation and information fusion methods;
For example, AUTOSAR Adaptive systems couldprovide a standardized software framework for sensor fusion data processing, over-the-air(OTA) updates, and vehicle-to-infrastructure or IoT features.
Sensor fusion takes data from all sensors and then cross-references multiple sources using software algorithms to create a consistent image.
Sensor fusion, data management and exploitation features of skyISTAR enable highly effective border control, wide area surveillance, targeted surveillance, environmental and disaster control missions.
This requires,“high-quality real-time satellite imagery and target locating data and fusion, as well as of reliable indigenous satellite positioning, navigation, and timing(PNT)”.
Therefore, big data intelligence, perceived fusion intelligence, and cross-media intelligence are inevitable, and the traditional machine intelligence detection Turing method will be challenged.
We do a lot of big data analytics,and creating decision tools to look at the fusion of different types of sensor data.