Paper
23 November 2022 Robust UAV-assisted autonomous landing system and its key technology for USVs
Yueting Hao, Fengzhi Cao, Ruhao Zhang, Shanyi Ke, Xincheng Huang
Author Affiliations +
Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124540Z (2022) https://doi.org/10.1117/12.2658877
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China
Abstract
To realize the autonomous and precise take-off and landing of unmanned aerial vehicles (UAVs) on unmanned surface vehicles (USVs) and to reduce the space occupied by the embedded system of UAVs, we design a UAV-assisted autonomous landing system that is equipped with sealed charging functions for multi-rotor UAVs. Using the unmanned surface vehicle as the calculation center, the system makes use of the onboard stabilization platform to compensate for the irregular motion of the deck autonomously, which helps simplify the landing process. The system will then automatically transport the UAV into the ship cabin after the landing process has been finished, ensuring a safe environment for the UAV. In this paper, we introduce several technologies, including real-time kinematic (RTK) GPS, stabilized platform, and UAV attitude measurement and prediction, and describes how to design and implement the system. This paper has provided technical support for precise landing and automated tracking for cooperative UAVUSVs, and it also offers flexible ideas for other cross-domain collaborative systems.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yueting Hao, Fengzhi Cao, Ruhao Zhang, Shanyi Ke, and Xincheng Huang "Robust UAV-assisted autonomous landing system and its key technology for USVs", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124540Z (23 November 2022); https://doi.org/10.1117/12.2658877
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KEYWORDS
Unmanned aerial vehicles

Control systems

Servomechanisms

Sensors

Computing systems

Microcontrollers

Motion measurement

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