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End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas.
Huajie Xiong1, Baoguo Yu1, Qingwu Yi1
1State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, China.
Sensors (Basel, Switzerland)
|August 26, 2023
Summary
This study introduces an end-cloud collaborative navigation planning method for Unmanned Aerial Vehicles (UAVs). The approach enhances navigation accuracy and efficiency for tasks like regional search and railway patrol.
Area of Science:
- Robotics and Automation
- Artificial Intelligence
- Aerospace Engineering
Background:
- Unmanned Aerial Vehicle (UAV) collaboration is crucial for tasks like regional search and railway patrol.
- Navigation planning for UAVs is a complex optimization challenge, essential for obstacle avoidance and task completion.
- Current autonomous and ground-controlled navigation methods face limitations in airborne processing power and communication delays.
Purpose of the Study:
- To develop a novel navigation planning method for UAVs that addresses accuracy and timeliness limitations.
- To design an end-cloud collaborative architecture for UAV navigation.
- To improve the effectiveness and efficiency of UAV navigation planning.
Main Methods:
- Designed an end-cloud collaborative navigation planning architecture for UAVs.
- Developed a cloud-based navigation planning algorithm using improved Particle Swarm Optimization (PSO).
- Created a terminal navigation control algorithm employing a multi-objective hybrid swarm intelligent optimization algorithm.
Main Results:
- Computer simulations demonstrated the proposed method's correctness and feasibility.
- Indoor flight tests with small rotor UAVs validated the approach.
- The end-cloud collaboration significantly improved UAV navigation planning effectiveness and efficiency.
Conclusions:
- The proposed end-cloud collaborative navigation planning method is effective and feasible for UAVs.
- This approach overcomes limitations of airborne processing power and communication delays.
- The method enhances the overall performance of UAV navigation for various applications.
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