Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation [PDF]
Sensors, 2021 Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are some of the fundamental sensors used in attitude estimation.
Parag Narkhede +4 more
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A Kalman Filter for Nonlinear Attitude Estimation Using Time Variable Matrices and Quaternions [PDF]
Sensors, 2020 The nonlinear problem of sensing the attitude of a solid body is solved by a novel implementation of the Kalman Filter. This implementation combines the use of quaternions to represent attitudes, time-varying matrices to model the dynamic behavior of the
Álvaro Deibe +3 more
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Position and Attitude Estimation Method Integrating Visual Odometer and GPS [PDF]
Sensors, 2020 The monocular visual odometer is widely used in the navigation of robots and vehicles, but it has defects of the unknown scale of the estimated trajectory.
Yu Yang +5 more
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Optimization of Gradient Descent Parameters in Attitude Estimation Algorithms [PDF]
Sensors, 2023 Attitude estimation methods provide modern consumer, industrial, and space systems with an estimate of a body orientation based on noisy sensor measurements. The gradient descent algorithm is one of the most recent methods for optimal attitude estimation,
Karla Sever +2 more
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Attitude Estimation Algorithm of Portable Mobile Robot Based on Complementary Filter [PDF]
Micromachines, 2021 In robot inertial navigation systems, to deal with the problems of drift and noise in the gyroscope and accelerometer and the high computational cost when using extended Kalman filter (EKF) and particle filter (PF), a complementary filtering algorithm is
Mei Liu +3 more
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Real-Time Attitude Estimation for Spinning Projectiles by Magnetometer Based on an Adaptive Extended Kalman Filter [PDF]
Micromachines, 2023 The attitude measurement system based on geomagnetic information offers advantages such as small space requirements, fast response times, excellent resistance to high-overload conditions, and cost-effectiveness.
Ge Zhang +4 more
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Improved Single Inertial-Sensor-Based Attitude Estimation during Walking Using Velocity-Aided Observation [PDF]
Sensors, 2021 This paper presents a Kalman filter-based attitude estimation algorithm using a single body-mounted inertial sensor consisting of a triaxial accelerometer and triaxial gyroscope.
Duc Cong Dang, Young Soo Suh
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Research on Gradient-Descent Extended Kalman Attitude Estimation Method for Low-Cost MARG [PDF]
Micromachines, 2022 Aiming at the problem of the weak dynamic performance of the gradient descent method in the attitude and heading reference system, the susceptibility to the interference of accelerometers and magnetometers, and the complex calculation of the nonlinear ...
Ning Liu +4 more
doaj +2 more sources
RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters
AI, 2021 Inertial-sensor-based attitude estimation is a crucial technology in various applications, from human motion tracking to autonomous aerial and ground vehicles.
Daniel Weber +2 more
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Enhanced Attitude and Altitude Estimation for Indoor Autonomous UAVs
Drones, 2022 In recent years the use of Unmanned Aerial Vehicles (UAVs) has considerably grown in the civil sectors, due to their high flexibility of use. Currently, two important key points are making them more and more successful in the civil field, namely the ...
Salvatore Rosario Bassolillo +5 more
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