On attitude estimation with smartphones [PDF]
2017 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017 We investigate the precision of attitude estimation algorithms in the particular context of pedestrian navigation with commodity smartphones and their inertial/magnetic sensors. We report on an extensive comparison and experimental analysis of existing algorithms. We focus on typical motions of smartphones when carried by pedestrians.
Michel, Thibaud +3 more
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Nonlinear Complementary Filter for Attitude Estimation by Fusing Inertial Sensors and a Camera [PDF]
Sensors, 2020 Using a standalone camera for pose estimation has been quite a standard task. However, the point correspondence-based algorithms require at least four feature points in the field of view. This paper considers the situation that there are only two feature
Lingxiao Zheng, Xingqun Zhan, Xin Zhang
doaj +2 more sources
An Efficient Nonlinear Filter for Spacecraft Attitude Estimation [PDF]
International Journal of Aerospace Engineering, 2014 Increasing the computational efficiency of attitude estimation is a critical problem related to modern spacecraft, especially for those with limited computing resources.
Bing Liu +3 more
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A Sequential Multiplicative Extended Kalman Filter for Attitude Estimation Using Vector Observations [PDF]
Sensors, 2018 In this paper, a sequential multiplicative extended Kalman filter (SMEKF) is proposed for attitude estimation using vector observations. In the proposed SMEKF, each of the vector observations is processed sequentially to update the attitude, which can ...
Fangjun Qin +3 more
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Usinge The qEKF Algorithm for Satellite Attitude Estimation with Two Magnetometer & Sun Sensors [PDF]
فصلنامه علوم و فناوری فضایی, 2021 In recent years, according to progress of aerospace industries particularly satellites it has been paying much attention to attitude determination of satellite.
Abbas Saeidi +2 more
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An Improved Invariant Kalman Filter for Lie Groups Attitude Dynamics with Heavy-Tailed Process Noise
Machines, 2021 Attitude estimation is a basic task for most spacecraft missions in aerospace engineering and many Kalman type attitude estimators have been applied to the guidance and navigation of spacecraft systems.
Jiaolong Wang +3 more
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Aerospace, 2021 Motivated by the rapid progress of aerospace and robotics engineering, the navigation and control systems on matrix Lie groups have been actively studied in recent years.
Jiaolong Wang, Zeyang Chen
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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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Sensor Data Fusion using Kalman Filter for LAPAN-A2 Satellite Attitude Estimation [PDF]
INCAS Bulletin, 2023 LAPAN A2 is a Low Earth Orbit (LEO) satellite with the primary mission to monitor the area. In order to fulfil the mission’s objectives, the Satellite attitude must be controlled properly.
Shabri C. AKMAL +3 more
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Fast Attitude Estimation System for Unmanned Ground Vehicle Based on Vision/Inertial Fusion
Machines, 2021 The attitude estimation system based on vision/inertial fusion is of vital importance and great urgency for unmanned ground vehicles (UGVs) in GNSS-challenged/denied environments.
Zhenhui Fan +4 more
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