Noncontact cable force estimation with unmanned aerial vehicle and computer vision

2020 ◽  
Vol 36 (1) ◽  
pp. 73-88 ◽  
Author(s):  
Yongding Tian ◽  
Cheng Zhang ◽  
Shang Jiang ◽  
Jian Zhang ◽  
Wenhui Duan
Keyword(s):  
Computer Vision ◽  
Unmanned Aerial Vehicle ◽  
Force Estimation ◽  
Cable Force ◽  
Aerial Vehicle ◽  
Cable Force Estimation

Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research

2021 ◽  
Author(s):  
Brendan Alvey ◽  
Derek T. Anderson ◽  
Andrew Buck ◽  
Matthew Deardorff ◽  
Grant Scott ◽  
...  
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Unmanned Aerial Vehicle ◽  
Learning Framework ◽  
Aerial Vehicle

scholarly journals Cable force estimation of cables with small sag considering inclination angle effect

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Wen-Yu He ◽  
Fan-Cheng Meng ◽  
Wei-Xin Ren
Keyword(s):  
Boundary Conditions ◽  
Inclination Angle ◽  
Estimation Methods ◽  
Unknown Boundary ◽  
Force Estimation ◽  
Numerical Examples ◽  
Cable Force ◽  
Angle Effect ◽  
Unknown Boundary Conditions ◽  
Cable Force Estimation

AbstractCable force estimation is essential for security assessment of cable-stayed bridges. Cable force estimation methods based on the relationship between cable force and frequency have been extensively studied and used during both construction phase and service phase. However, the effect induced by inclination angle of the cable is not included in the establishment of frequency-cable force relationship as horizontal cable model is normally employed. This study aims to investigate the influence of the inclination angle on vibration based cable force estimation and provide practical formulas accordingly. Firstly numerical examples of fixed-fixed and hinged-hinged cables are simulated to illustrate the necessity of considering the inclination angle effect on the modal parameters and cable force estimation for inclined cables with small sag. Then practical formulas considering the inclination angle effect to estimate the cable force of fixed-fixed and hinged-hinged cables via the fundamental frequency are established accordingly. For the inclined cables with unknown boundary conditions, the coefficients reflecting boundary condition are predicted via the practical formulas for fixed-fixed and hinged-hinged cables. And the cable force considering the influence of inclination angle and unknown boundary conditions is obtained by iteration method. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed method.

scholarly journals An Unmanned Aerial Vehicle for Parking Slot Availability

2020 ◽  
Author(s):  
Anil Mallidi ◽  
Sabah Mohammed
Keyword(s):  
Computer Vision ◽  
Unmanned Aerial Vehicle ◽  
Programming Language ◽  
Research Project ◽  
Python Programming Language ◽  
Parking Lot ◽  
Aerial Vehicle ◽  
Python Programming

This is a research project which uses computer vision techniques to find out the empty parking spaces in any given Parking lot. It uses existing functions from OpenCV library in Python programming language to extract the parking lines from an image.

scholarly journals An Unmanned Aerial Vehicle for Parking Slot Availability

2020 ◽  
Author(s):  
Anil Mallidi ◽  
Sabah Mohammed
Keyword(s):  
Computer Vision ◽  
Unmanned Aerial Vehicle ◽  
Programming Language ◽  
Research Project ◽  
Python Programming Language ◽  
Parking Lot ◽  
Aerial Vehicle ◽  
Python Programming

This is a research project which uses computer vision techniques to find out the empty parking spaces in any given Parking lot. It uses existing functions from OpenCV library in Python programming language to extract the parking lines from an image.

Plantation Loblolly Pine Seedling Counts with Unmanned Aerial Vehicle Imagery: A Case Study

2020 ◽  
Vol 118 (5) ◽  
pp. 487-500 ◽  
Author(s):  
P Corey Green ◽  
Harold E Burkhart
Keyword(s):  
Computer Vision ◽  
Unmanned Aerial Vehicle ◽  
Loblolly Pine ◽  
Resource Assessment ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Detection Methods ◽  
Aircraft Systems ◽  
Pine Regeneration ◽  
Aerial Vehicle

Abstract Abstract An unmanned aircraft system was evaluated for its potential to capture imagery for use in plantation loblolly pine (Pinus taeda L.) regeneration surveys. Five stands located in the Virginia Piedmont were evaluated. Imagery was collected using a recreational grade unmanned aerial vehicle at three flight heights above ground with a camera capable of capturing red–green–blue imagery. Two computer vision approaches were evaluated for their potential to automatically detect seedlings. The results of the study indicated that the proposed methods were limited in capability of generating reliable counts of seedlings in the locations evaluated. In conditions with low numbers of natural seedlings and sufficiently large planted seedlings, the detection methods performed with higher levels of accuracy. Challenges including global positioning system errors and image distortion made comparisons between ground samples and imagery difficult. In summary, unmanned aircraft systems have potential for use in plantation pine regeneration surveys if the challenges encountered can be addressed. Study Implications: Following the establishment of a pine plantation, it is important to estimate survival and possible recruitment of natural conifers. As the popularity of unmanned aircraft systems (UAS) has increased, forest managers have begun to explore their use for resource assessment. This study investigated using imagery captured with a recreational grade UAS, in conjunction with automated computer vision counting techniques, for use in regeneration surveys. The results of this research indicate that significant challenges must be addressed before UAS can become an integral component of survival assessments. Aircraft constraints, legal restrictions, low image quality, and high levels of natural pine regeneration limited the success of the proposed methods. In selected cases, however, favorable conditions led to accurate detection. Additionally, UAS imagery has the potential for assessing other stand characteristics such as competing vegetation and drainage patterns. Going forward, UAS imagery and automated counting approaches have the potential to supplement, but not fully replace, ground regeneration surveys if the challenges encountered in this study can be addressed.

scholarly journals An Application of Computer Vision Systems to Solve the Problem of Unmanned Aerial Vehicle Control

2014 ◽  
Vol 15 (3) ◽  
pp. 209-214 ◽  
Author(s):  
Alexey Y. Aksenov ◽  
Sergey V. Kuleshov ◽  
Alexandra A. Zaytseva
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Vision Systems ◽  
Absolute Positioning ◽  
Automatic Landing ◽  
Aerial Vehicle ◽  
Computer Vision Systems ◽  
Aerial Platform

Abstract The paper considers an approach for application of computer vision systems to solve the problem of unmanned aerial vehicle control. The processing of images obtained through onboard camera is required for absolute positioning of aerial platform (automatic landing and take-off, hovering etc.) used image processing on-board camera. The proposed method combines the advantages of existing systems and gives the ability to perform hovering over a given point, the exact take-off and landing. The limitations of implemented methods are determined and the algorithm is proposed to combine them in order to improve the efficiency.

Sign in / Sign up

Export Citation Format

Share Document