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相关论文: Attitude Reconstruction from Inertial Measurements…

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Rigid motion computation or estimation is a cornerstone in numerous fields. Attitude computation can be achieved by integrating the angular velocity measured by gyroscopes, the accuracy of which is crucially important for the dead-reckoning…

系统与控制 · 计算机科学 2019-01-15 Yuanxin Wu

Attitude computation is of vital importance for a variety of applications. Based on the functional iteration of the Rodrigues vector integration equation, the RodFIter method can be advantageously applied to analytically reconstruct the…

机器人学 · 计算机科学 2021-09-21 Yuanxin Wu , Qi Cai , Tnieu-Kien Truong

Inertial navigation computation is to acquire the attitude, velocity and position information of a moving body by integrating inertial measurements from gyroscopes and accelerometers. Over half a century has witnessed great efforts in…

机器人学 · 计算机科学 2021-09-21 Yuanxin Wu

Strapdown inertial navigation research involves the parameterization and computation of the attitude, velocity and position of a rigid body in a chosen reference frame. The community has long devoted to finding the most concise and…

机器人学 · 计算机科学 2021-02-25 Wei Ouyang , Yuanxin Wu

This paper compares two basic approaches to solving ordinary differential equations, which form the basis for attitude computation in strapdown inertial navigation systems, namely, the Taylor series expansion approach that was used in its…

数值分析 · 数学 2021-09-21 Yuanxin Wu , Yury A. Litmanovich

The existing attitude controllers (without angular velocity measurements) involve explicitly the orientation (\textit{e.g.,} the unit-quaternion) in the feedback. Unfortunately, there does not exist any sensor that directly measures the…

最优化与控制 · 数学 2012-03-08 A. Tayebi , A. Roberts , A. Benallegue

The acquisition of attitude, velocity, and position is an essential task in the field of inertial navigation, achieved by integrating the measurements from inertial sensors. Recently, the ultra-precision inertial navigation computation has…

系统与控制 · 电气工程与系统科学 2022-11-18 Hongyan Jiang , Maoran Zhu , Yanyan Fu , Yuanxin Wu

This paper presents a novel end-to-end deep learning framework for real-time inertial attitude estimation using 6DoF IMU measurements. Inertial Measurement Units are widely used in various applications, including engineering and medical…

机器人学 · 计算机科学 2023-05-23 Arman Asgharpoor Golroudbari , Mohammad Hossein Sabour

This paper presents solutions to the following two common quaternion attitude estimation problems: (i) estimation of attitude using measurement of two reference vectors, and (ii) estimation of attitude using rate measurement and measurement…

系统与控制 · 电气工程与系统科学 2024-12-20 Yujendra Mitikiri , Kamran Mohseni

The rigid-body attitude tracking using vector and biased gyro measurements with unknown inertia matrix is studied in this note. First, a gyro-bias observer with global exponential stability is designed. Then, an attitude tracking controller…

系统与控制 · 电气工程与系统科学 2022-08-05 Eduardo Espíndola , Yu Tang

We address the problem of attitude stabilization of a rigid body, in which neither the angular velocity nor the instantaneous measurements of the attitude are used in the feedback, only body vector measurements are needed. The design of the…

最优化与控制 · 数学 2015-01-21 L. Benziane , A. Benallegue , Y. Chitour , A. Tayebi

In this paper, we propose a new approach to the attitude control of quadrotors, by which angular velocity measurements or a model-based observer reconstructing the angular velocity are not needed. The proposed approach is based on recent…

最优化与控制 · 数学 2021-01-14 Ahmed G. Ghallab , Ian R. Petersen

This paper presents a novel Lagrangian approach to attitude tracking for rigid spacecraft using unit quaternions, where the motion equations of a spacecraft are described by a four degrees of freedom Lagrangian dynamics subject to a…

系统与控制 · 电气工程与系统科学 2022-02-11 Eduardo Espíndola , Yu Tang

Recently, quadrotors are gaining significant attention in aerial transportation and delivery. In these scenarios, an accurate estimation of the external force is as essential as the 6 degree-of-freedom (DoF) pose since it is of vital…

机器人学 · 计算机科学 2021-06-29 Ziming Ding , Tiankai Yang , Kunyi Zhang , Chao Xu , Fei Gao

Attitude estimation using scalar measurements, corresponding to partial vectorial observations, arises naturally when inertial vectors are not fully observed but only measured along specific body-frame vectors. Such measurements arise in…

系统与控制 · 电气工程与系统科学 2026-04-10 Alessandro Melis , Soulaimane Berkane , Tarek Hamel

In this work, we utilize discrete geometric mechanics to derive a 2nd-order variational integrator so as to simulate rigid body dynamics. The developed integrator is to simulate the motion of a free rigid body and a quad-rotor. We…

最优化与控制 · 数学 2020-05-18 Mahmoud Abdelgalil , Asmaa Eldesoukey , Esraa Elshabrawy , Mostafa Abdalla

The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted descriptors. However, it is widely despised by recent deep matchers that obtain the rotation invariance extrinsically via data augmentation. As the…

计算机视觉与模式识别 · 计算机科学 2024-03-28 Hao Yu , Zheng Qin , Ji Hou , Mahdi Saleh , Dongsheng Li , Benjamin Busam , Slobodan Ilic

Inertial-based navigation refers to the navigation methods or systems that have inertial information or sensors as the core part and integrate a spectrum of other kinds of sensors for enhanced performance. Through a series of papers, the…

机器人学 · 计算机科学 2023-05-18 Maoran Zhu , Yuanxin Wu

This thesis introduces a novel quadrotor manipulation system that consists of 2-link manipulator attached to the bottom of a quadrotor. This new system presents a solution for the drawbacks found in the current quadrotor manipulation system…

机器人学 · 计算机科学 2019-04-11 Ahmed Khalifa

Inertial Odometry (IO) has gained attention in quadrotor applications due to its sole reliance on inertial measurement units (IMUs), attributed to its lightweight design, low cost, and robust performance across diverse environments.…

机器人学 · 计算机科学 2026-03-03 Jiahao Cui , Feng Yu , Linzuo Zhang , Yu Hu , Danping Zou
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