The proposed approach is compared to commonly used algorithms using experimental data representing commonly used smartphone dynamics. Results show the ...
To that end, a data driven adaptive complementary filter for attitude and heading estimation is proposed. The accelerometers and magne- tometers weights in each ...
A data driven adaptive complementary filter for attitude and heading estimation is proposed using accelerometers and magnetometers weights in each axis to ...
The proposed approach is compared to commonly used algorithms using experimental data representing commonly used smartphone dynamics. Results show the ...
We used a different experimental dataset including both linear acceleration and magnetic disturbances to show our approach outperformed all other AHRS ...
Dive into the research topics of 'Attitude and Heading Adaptive Estimation Using a Data Driven Approach'. Together they form a unique fingerprint. Sort by ...
The accelerometers and magnetometers weights in each axis are adjusted by a neural network, trained on experimental data for optimal performance. The proposed ...
This paper proposes a quaternion-based adaptive cubature Kalman filter (ACKF) algorithm to estimate the attitude and heading based on smart phone-embedded MARG ...
Attitude determination using the smartphone's inertial sensors poses a major challenge due to the sensor low-performance grade and variate nature of the walking ...
Sep 5, 2024 · This paper investigates an adaptive data fusion method for updating the low-cost AHRS model, considering measurement inaccuracies and model perturbations.
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