Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework

2021 ◽  
Author(s):  
Dominik Schneider ◽  
Bernhard Liebhart ◽  
Christian Endisch
Keyword(s):  
Data Fusion ◽  
Variance Estimation ◽  
Sensor Data ◽  
Sensor Noise ◽  
Sensor Data Fusion ◽  
Fusion Framework

City Data Fusion

2016 ◽  
Vol 7 (1) ◽  
pp. 15-36 ◽  
Author(s):  
Meisong Wang ◽  
Charith Perera ◽  
Prem Prakash Jayaraman ◽  
Miranda Zhang ◽  
Peter Strazdins ◽  
...  
Keyword(s):  
Data Fusion ◽  
Smart City ◽  
Evaluation Framework ◽  
Sensor Data ◽  
Research Issues ◽  
Sensor Data Fusion ◽  
Current State ◽  
Open Research ◽  
Diverse Data ◽  
Fusion Framework

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. The authors introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. They then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. The authors' main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.

City Data Fusion

2017 ◽  
pp. 398-422 ◽  
Author(s):  
Meisong Wang ◽  
Charith Perera ◽  
Prem Prakash Jayaraman ◽  
Miranda Zhang ◽  
Peter Strazdins ◽  
...  
Keyword(s):  
Data Fusion ◽  
Smart City ◽  
Evaluation Framework ◽  
Data Sources ◽  
Sensor Data ◽  
Research Issues ◽  
Sensor Data Fusion ◽  
Current State ◽  
Diverse Data ◽  
Fusion Framework

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. The authors introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. They then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. The authors' main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.

scholarly journals Multi-sensor data fusion framework for CNC machining monitoring

2016 ◽  
Vol 66-67 ◽  
pp. 505-520 ◽  
Author(s):  
João A. Duro ◽  
Julian A. Padget ◽  
Chris R. Bowen ◽  
H. Alicia Kim ◽  
Aydin Nassehi
Keyword(s):  
Data Fusion ◽  
Cnc Machining ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion ◽  
Fusion Framework
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