An Algorithm-Level Test Bed for Level-One Data Fusion Research (CASE-ATTI)

2001 ◽  
Author(s):  
Fu-Mao Chou
Keyword(s):  
Data Fusion ◽  
Test Bed ◽  
Fusion Research ◽  
Algorithm Level

Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed

1995 ◽  
Author(s):  
Eloi Bosse ◽  
Nicolas Duclos-Hindie ◽  
Jean Roy ◽  
Denis Dion, Jr.
Keyword(s):  
Sensor Fusion ◽  
Test Bed ◽  
Level Sensor ◽  
Algorithm Level

scholarly journals A Study for Efficient Methods of System Calibration between Optical and Range Sensors

2015 ◽  
Vol XL-7/W4 ◽  
pp. 7-12
Author(s):  
W. Choi ◽  
C. Kim ◽  
Y. Kim
Keyword(s):  
Data Fusion ◽  
Efficient Method ◽  
Optical Sensors ◽  
Simulated Data ◽  
Calibration Method ◽  
Bundle Adjustment ◽  
Real System ◽  
Test Bed ◽  
Data Set ◽  
System Calibration

Recently, interests in 3D indoor modeling and positioning have been growing. Data fusion by using different sensors data is one of the 3D model producing methods. For a data fusion between two kinds of sensors, precise system calibration is essential. If relative geometric location of each sensor can be accurately measured with a system-calibration, it is possible to locate a pixel that corresponds to the same object in two different images, and thus, produce a more precise data-fusion. Purpose of this study is finding more efficient method of system calibration between optical and range sensor. For this purpose, experiment was designed by considering following variables, i) system calibration method, ii) testbed type, iii) and distance data(whether use it or not). So, In this study, test-bed for system calibration was designed by considering the characteristics of sensors. Also, precise simulation was done to find efficient method of system calibration, and its results were reflected in real experiment. Results of simulation show that the bundle adjustment method is more efficient than single photo resection in system calibration between range and optical sensors. And the most efficient case was when using i) the bundle adjustment with ii) the simulated data set which were obtained between 2m to 4m away from the test-bed. These results of simulation were reflected in real system calibration. Finally, real system calibration were performed and its results were compared to results of simulation. And accuracy of system calibration was evaluated by producing fusion data between range and optical sensors.

ESCAPE Data Collection for Multi-Modal Data Fusion Research

2019 ◽  
Author(s):  
Peter Zulch ◽  
Marcello Distasio ◽  
Todd Cushman ◽  
Brian Wilson ◽  
Ben Hart ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Fusion ◽  
Fusion Research ◽  
Modal Data

scholarly journals Analytical Modelling of Power Efficient Reliable Operation of Data Fusion in Wireless Sensor Network

2018 ◽  
Vol 8 (6) ◽  
pp. 4637
Author(s):  
Jayasri B. S. ◽  
G. Raghavendra Rao
Keyword(s):  
Wireless Sensor Network ◽  
Data Fusion ◽  
Sensor Network ◽  
Network Performance ◽  
City Planning ◽  
Energy Parameter ◽  
Wireless Sensor ◽  
Test Bed ◽  
Reliable Operation ◽  
Power Efficient

Irrespective of inclusion of Wireless Sensor Network (WSN) in majority of the research proposition for smart city planning, it is still shrouded with some significant issues. A closer look into problems in WSN shows that energy parameter is the origination point of majority of the other problems in resource-constrained sensors as well as it significant minimizes the reliability in standard sensory operation in adverse environment. Therefore, this manuscript presents a novel analytical model that is meant for establishing a well balance between energy efficiency over multi-path data forwarding and reliable operation with improved network performance. The complete process is emphasized during data fusion stage to ensure data quality too. A simulation study has been carried out using benchmarked test-bed of MEMSIC nodes to find that proposed system offers good energy conservation process during data fusion operation as well as it also ensure good reliable operation in comparison to existing system.

scholarly journals Vibration Information Acquisition and Representation Control Strategy for Construction Vehicle Driver Seat

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Mingde Gong ◽  
Baoqiang Zhao ◽  
Xin Wang
Keyword(s):  
Data Fusion ◽  
Control Strategy ◽  
Information Acquisition ◽  
Low Frequency ◽  
Vibration Signal ◽  
Attitude Measurement ◽  
Test Bed ◽  
Vibration Displacement ◽  
High Acceleration ◽  
Displacement Reconstruction

Vibration information acquisition and representation control strategy in the experiment of construction of vehicle driver seat are investigated in this study. An improved adaptive algorithm of multisensor attitude data fusion is proposed. The nonlinear equations of vehicle attitude quaternions are constructed by using the test information of accelerometers and magnetometers. Then, a complementary filter is used to fuse the obtained attitude with gyroscope information to obtain attitude information during vehicle travel. Weight matrix and filter coefficients in the algorithm are adjusted with vehicle motions to ensure accuracy of attitude measurement under static, low-, and high-acceleration conditions. The vehicle vibration displacement information is reconstructed by the low-frequency attenuation integration method on the basis of attitude measurement to inhibit integral trend items and reduce vibration displacement reconstruction errors. The three-state controller is designed to control a six-degree-of-freedom hydraulic simulated vibration test bed, and the obtained vibration signal is used as an excitation signal to perform a vibration representation control test. Finally, results verify that the proposed method demonstrates favourable data fusion and representation accuracy.

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