A connected unmanned aerial vehicle route planning and route smoothing method

By real-time monitoring and dynamic adjustment of flight routes, combined with reinforcement learning and Bézier curve improvement, the problems of flight stability and communication quality of connected drones in dynamic environments have been solved, achieving flexible and efficient flight route planning.

CN122111035APending Publication Date: 2026-05-29CHINA NAT INST OF STANDARDIZATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA NAT INST OF STANDARDIZATION
Filing Date
2024-11-29
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing networked drone route planning relies on static environmental information, making it difficult to adapt to dynamic changes during flight. Furthermore, route smoothing cannot balance the drone's flight performance and communication quality.

Method used

By acquiring real-time flight status and environmental changes through connected technologies, and combining reinforcement learning algorithms and Bézier curve improvements, flight routes are dynamically adjusted, and weighted control parameters are introduced to achieve smooth flight route processing.

Benefits of technology

It improves the flexibility and real-time nature of flight route planning, ensures the flight stability and communication quality of UAVs in dynamic environments, and enhances adaptability and robustness.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of network connection unmanned plane route planning and route smoothing method, including the following steps: flight planning step: by network connection technology, obtain the starting point and the end point of the route of unmanned plane and corresponding latitude and longitude coordinates, determine the route planning area of unmanned plane;According to the flight performance and task demand of unmanned plane, determine flight height, and obtain the flight communication quality data of unmanned plane under the flight height by network connection technology;Collect and set flight environment data;According to communication quality data and flight environment data, establish the reward function of reinforcement learning, output optimal planning route by reinforcement learning algorithm;The beneficial effects of the application are: by network connection technology, realize the real-time communication of unmanned plane and ground control center, improve the flexibility and real-time performance of route planning;By reinforcement learning algorithm, consider communication quality data and flight environment data comprehensively, output optimal planning route, improve the safety and efficiency of route.
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