Prof. Beom-Soo Shin Profile

Prof. Beom-Soo Shin

at Kangwon National Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 12 April 2021 Presentation + Paper

A collaborative operation system of autonomous unmanned aerial vehicles for field phenotyping in farm fields

Hyeon-Seung Lee, Beom-Soo Shin, J. Alex Thomasson, Xiongzhe Han

Proceedings Volume 11747, 117470E (2021) https://doi.org/10.1117/12.2585866

KEYWORDS: Unmanned aerial vehicles, RGB color model, Control systems, Cameras, Remote sensing, Navigation systems, Motion models, Motion measurement, Agriculture, 3D modeling

Read Abstract +

Unmanned Aerial Vehicle (UAV)-based remote sensing techniques have significant potential in agriculture and smart farming applications for the efficient monitoring of plant growth, the irrigation process, disease detection, etc. Most research on field phenotyping with remote sensing was accomplished by a typical UAV equipped with an RGB camera or a multispectral camera over a large farm field. Due to the effects of wind disturbances on point-cloud generation processing with a single-camera image captured from the UAV, precise field phenotyping measurement for crop breeding and agriculture production requires the simultaneous collection of images by multiple cameras that are far enough apart to provide for structure from motion calculations. To improve digital surface models by minimizing measurement errors caused by the motion of the UAV and plants during a flying mission, a cooperative operation system of multiple UAVs was proposed to enable the simultaneous collection of images from different perspectives. A coordinated navigation system based on the Robot Operation System was constructed to compute control commands to stabilize pose control and the location of the UAVs. Based on a leader-follower formation control algorithm through a wireless network system, a follower UAV performed coordination with a leader UAV to maintain the desired constant speed, direction, and percentage of image overlap in a synchronized motion, ultimately enabling task achievement in a short time and improvement of target models based on 3D reconstruction. To validate the performance of the proposed method, measurement errors of field phenotyping, obtained from synchronized multiple UAV-based image collection, were compared with the single UAV-based image collection in simulation and field tests.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years