Research on UAV path planning based on information fusion

Wenming Song

doi:10.1117/12.3010236

20 October 2023 Research on UAV path planning based on information fusion

Wenming Song

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128142C (2023) https://doi.org/10.1117/12.3010236
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

In order to improve the accuracy of the unmanned aerial vehicle (uav) when performing specific tasks path planning, based on information fusion is proposed in this paper, artificial potential field method, first of all, to install the radar and photoelectric detection device of the unmanned aerial vehicle (uav) as an example, the radar can obtain more accurate distance information, photoelectric detection device can obtain Angle information of target is of high precision, In this paper, the target state information is obtained by radar and photoelectric detection device respectively, and the more accurate target position information is obtained by distributed heterogeneous sensor fusion method. Secondly, the path planning of uav is carried out by improved artificial potential field method. Finally achieve the purpose of uav tracking target.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenming Song "Research on UAV path planning based on information fusion", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128142C (20 October 2023); https://doi.org/10.1117/12.3010236

ACCESS THE FULL ARTICLE

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