Research on UAV Path Planning Based on Deep Learning in Wireless Communication Scenarios
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DOI: 10.23977/ICCIA2020038
Author(s)
Wang Weiquan, Zeng Weixiong, Hu Qianqian
Corresponding Author
Wang Weiquan
ABSTRACT
With the development of science and technology, more and more drones are applied in the military and civil fields, and their path planning has also attracted many scholars to study. Drone path planning is crucial important in the process of performing tasks. Based on this, this article studies the path planning of drones based on deep learning. First, the main technologies of wireless communication technology and their development trends are introduced. The key technologies include key agreement technology, cooperative interference technology, and confidential coding technology. Then it expounds the development process of deep learning, paves the way for its application, and then analyzes the current research status of drone path planning. Finally, a drone path planning scheme is designed to promote the development of drone technology.
KEYWORDS
Wireless communication; deep learning; drone; path planning