Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System

نویسندگان

چکیده

The array position and orientation system (array POS), composed of one main POS multiple sub-inertial measurement units (sub-IMUs), is key equipment in the aerial remote-sensing system, especially multi-load which can provide motion compensation for to improve imaging quality. Nevertheless, information each sub-IMU only realize corresponding load. Ideally, load should be equipped with a compensation, impossible actual engineering considering volume, weight cost. To solve this problem, multi-node estimation method based on B-spline proposed loads without sub-IMUs. Firstly, transfer alignment fiber-grating multi-dimensional deformation was adopted. Motion parameters payload sub-IMUs at different times obtained by observing correcting errors between In way, space-time characteristics interpolation point are fully utilized. Additionally, all fitted through B-spline, during wing considered obtain sub-IMU. spatial correlation node Due full utilization spatiotemporal sub node, high-precision highly reliable not obtained. Furthermore, modified locally affecting other nodes, has advantages simple algorithm easy implementation. Finally, semi-physical simulation ground-loading test conducted. results show that baseline X-axis, Y-axis Z-axis direction improved 0.484 mm, 0.137 mm 1.225 respectively, accuracy roll angle 0.011°.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Global motion model based on B-spline wavelets. Application to motion estimation and video indexing

This paper describes a framework to estimate global motion model based on B-spline wavelets. The wavelet-based model allows optical flow to be recovered at different resolution levels from image derivatives. By combining estimation from different resolution levels in a coarse to fine scheme, our algorithm is able to recover a large range of velocity magnitude. Our algorithm is evaluated on arti...

متن کامل

Multi-GPU based on multicriteria optimization for motion estimation system

Graphics processor units (GPUs) offer high performance and power efficiency for a large number of data-parallel applications. Previous research has shown that a GPU-based version of a neuromorphic motion estimation algorithm can achieve a×32 speedup using these devices. However, the memory consumption creates a bottleneck due to the expansive tree of signal processing operations performed. In t...

متن کامل

A self-calibration method for a multi stereo-rig system based on robust 3D motion estimation

This paper discusses self-calibration method for a multi stereo-rig passive face recognition system with overlapping views of individual cameras. Two cameras fixed inside a rig can be easily calibrated in a factory environment so each rig will be considered individually calibrated. It is incredibly important to estimate relative positions and orientations of the stereo rigs with respect to each...

متن کامل

B-Spline Finite Element Method for Solving Linear System of Second-Order Boundary Value Problems

In this paper, we solve a linear system of second-order boundary value problems by using the quadratic B-spline nite el- ement method (FEM). The performance of the method is tested on one model problem. Comparisons are made with both the analyti- cal solution and some recent results.The obtained numerical results show that the method is ecient.

متن کامل

Rotor Design of IPMSM Traction Motor Based on Multi- Objective Optimization using BFGS Method and Train Motion Equations

In this paper a multiobjective optimal design method of interior permanent magnet synchronous motor ( IPMSM) for traction applications so as to maximize average torque and to minimize torque ripple has been presented. Based on train motion equations and physical properties of train, desired specifications such as steady state speed, rated output power, acceleration time and rated speed of tract...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2023

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs15112892