Vision-Based UAV Landing with Guaranteed Reliability in Adverse Environment

Date

2023-02-15

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

MDPI

Type

Article

Peer reviewed

Yes

Abstract

Safe and accurate landing is crucial for Unmanned Aerial Vehicles (UAVs). However, it is a challenging task, especially when the altitude of the landing target is different from the ground and when the UAV is working in adverse environments, such as coasts where winds are usually strong and changing rapidly. UAVs controlled by traditional landing algorithms are unable to deal with sudden large disturbances, such as gusts, during the landing process. In this paper, a reliable vision-based landing strategy is proposed for UAV autonomous landing on a multi-level platform mounted on an Unmanned Ground Vehicle (UGV). With the proposed landing strategy, visual detection can be retrieved even with strong gusts and the UAV is able to achieve robust landing accuracy in a challenging platform with complex ground effects. The effectiveness of the landing algorithm is verified through real-world flight tests. Experimental results in farm fields demonstrate the proposed method’s accuracy and robustness to external disturbances (e.g., wind gusts).

Description

open access article

Keywords

UAV, autonomous landing, AprilTags

Citation

Ge, Z., Jiang, J., Pugh, E., Marshall, B., Yan, Y. and Sun, L. (2023) Vision-Based UAV Landing with Guaranteed Reliability in Adverse Environment. Electronics, 12, 967

Rights

Research Institute

Institute of Engineering Sciences (IES)