Using data fusion of DMARS-R-IMU and GPS data for improving attitude determination accuracy

2016 ◽  
Author(s):  
Josef Ettl ◽  
Dong Kim ◽  
Alexander P. Schmidt ◽  
John Turner
Keyword(s):  
Data Fusion ◽  
Attitude Determination ◽  
Gps Data ◽  
Using Data

scholarly journals Study on GPS/INS System Using Novel Filtering Methods for Vessel Attitude Determination

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiyuan Chen ◽  
Chong Shen ◽  
Yuefang Zhao
Keyword(s):  
Data Fusion ◽  
Particle Filter ◽  
Attitude Determination ◽  
Genetic Operators ◽  
Fusion Algorithm ◽  
Computation Efficiency ◽  
Consumption Cost ◽  
Using Data ◽  
Improve Attitude

Any vehicle such as vessel has three attitude parameters, which are mostly defined as pitch, roll, and heading from true north. In hydrographic surveying, determination of these parameters by using GPS or INS technologies is essential for the requirements of vehicle measurements. Recently, integration of GPS/INS by using data fusion algorithm became more and more popular. Therefore, the data fusion algorithm plays an important role in vehicle attitude determination. To improve attitude determination accuracy and efficiency, two improved data fusion algorithms are presented, which are extended Kalman particle filter (EKPF) and genetic particle filter (GPF). EKPF algorithm combines particle filter (PF) with the extended Kalman filter (EKF) to avoid sample impoverishment during the resampling process. GPF is based on genetic algorithm and PF; several genetic operators such as selection, crossover, and mutation are adopted to optimize the resampling process of PF, which can not only reduce the particle impoverishment but also improve the computation efficiency. The performances of the system based on the two proposed algorithms are analyzed and compared with traditional KF. Simulation results show that, comprehensively considering the determination accuracy and consumption cost, the performance of the proposed GPF is better than EKPF and traditional KF.

Enhancing Athlete Tracking Using Data Fusion in Wearable Technologies

2021 ◽  
Vol 70 ◽  
pp. 1-13
Author(s):  
Adnan Waqar ◽  
Iftekhar Ahmad ◽  
Daryoush Habibi ◽  
Nicolas Hart ◽  
Quoc Viet Phung
Keyword(s):  
Data Fusion ◽  
Wearable Technologies ◽  
Using Data

Hairline breakage detection in X-ray images using data fusion

2017 ◽  
Vol 77 (13) ◽  
pp. 17207-17222 ◽  
Author(s):  
C. Harriet Linda ◽  
G. Wiselin Jiji
Keyword(s):  
Data Fusion ◽  
X Ray ◽  
Using Data

2D- and 3D-visualisation of NDT-data using data fusion technique

2005 ◽  
Vol 38 (9) ◽  
pp. 817-826 ◽  
Author(s):  
C. Kohl ◽  
M. Krause ◽  
C. Maierhofer ◽  
J. Wöstmann
Keyword(s):  
Data Fusion ◽  
Fusion Technique ◽  
3D Visualisation ◽  
Using Data ◽  
2D And 3D
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