scholarly journals Modified covariance intersection for data fusion in distributed nonhomogeneous monitoring systems network

2017 ◽  
Vol 28 (4) ◽  
pp. 1413-1424 ◽  
Author(s):  
Abolghasem Daeichian ◽  
Elham Honarvar
Keyword(s):  
Data Fusion ◽  
Monitoring Systems ◽  
Covariance Intersection

scholarly journals Enhancing Crowd Monitoring System Functionality through Data Fusion: Estimating Flow Rate from Wi-Fi Traces and Automated Counting System Data

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6032 ◽  
Author(s):  
Dorine C. Duives ◽  
Tim van Oijen ◽  
Serge P. Hoogendoorn
Keyword(s):  
Data Fusion ◽  
Flow Rate ◽  
Moving Average ◽  
Monitoring Systems ◽  
Fusion Algorithm ◽  
Current State ◽  
Auto Regressive ◽  
System Data ◽  
Average Current ◽  
Crowd Monitoring

Crowd monitoring systems (CMSs) provide a state-of-the-art solution to manage crowds objectively. Most crowd monitoring systems feature one type of sensor, which severely limits the insights one can simultaneously gather regarding the crowd’s traffic state. Incorporating multiple functionally complementary sensor types is expensive. CMSs are needed that exploit data fusion opportunities to limit the number of (more expensive) sensors. This research estimates a data fusion algorithm to enhance the functionality of a CMS featuring Wi-Fi sensors by means of a small number of automated counting systems. Here, the goal is to estimate the pedestrian flow rate accurately based on real-time Wi-Fi traces at one sensor location, and historic flow rate and Wi-Fi trace information gathered at other sensor locations. Several data fusion models are estimated, amongst others, linear regression, shallow and recurrent neural networks, and Auto Regressive Moving Average (ARMAX) models. The data from the CMS of a large four-day music event was used to calibrate and validate the models. This study establishes that the RNN model best predicts the flow rate for this particular purpose. In addition, this research shows that model structures that incorporate information regarding the average current state of the area and the temporal variation in the Wi-Fi/count ratio perform best.

Vehicle Localization Using Sensors Data Fusion Via Integration of Covariance Intersection and Interval Analysis

2007 ◽  
Vol 7 (9) ◽  
pp. 1302-1314 ◽  
Author(s):  
Samuel B. Lazarus ◽  
Immanuel Ashokaraj ◽  
Antonios Tsourdos ◽  
Rafa¿ Zbikowski ◽  
Peter M. G. Silson ◽  
...  
Keyword(s):  
Data Fusion ◽  
Interval Analysis ◽  
Vehicle Localization ◽  
Covariance Intersection

Decentralized data fusion with inverse covariance intersection

Automatica ◽  
2017 ◽  
Vol 79 ◽  
pp. 35-41 ◽  
Author(s):  
Benjamin Noack ◽  
Joris Sijs ◽  
Marc Reinhardt ◽  
Uwe D. Hanebeck
Keyword(s):  
Data Fusion ◽  
Covariance Intersection ◽  
Decentralized Data Fusion
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