A Real-Time Path Planning Method for Urban Low-Altitude Logistics UAVs

Article Computer Science, Artificial Intelligence

A novel UAV path planning approach: Heuristic crossing search and rescue optimization algorithm

Chaoqun Zhang et al.

Summary: Unmanned aerial vehicle (UAV) path planning is crucial for the flight process, and an effective algorithm is needed. In this paper, a heuristic crossing search and rescue optimization algorithm (HC-SAR) is proposed to improve convergence speed and maintain population diversity. Real-time path adjustment and cubic B-spline interpolation are used for optimization. Comprehensive experiments validate the performance of HC-SAR, showing that it outperforms other algorithms and can effectively solve UAV path planning problem.

EXPERT SYSTEMS WITH APPLICATIONS (2023)

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Article Automation & Control Systems

Dynamic path planning of mobile robot based on improved simulated annealing algorithm

Kun Shi et al.

Summary: Dynamic path planning for mobile robots is crucial due to their increasing usage. This study introduces an improved simulated annealing algorithm for avoiding moving obstacles in dynamic situations. The algorithm reduces computational effort through initial path selection and deletion operations. Simulation results demonstrate the algorithm's superiority over others in both static and dynamic environments.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2023)

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Article Computer Science, Information Systems

A Two-Stage Approach of Joint Route Planning and Resource Allocation for Multiple UAVs in Unmanned Logistics Distribution

Chunhui Liu et al.

Summary: This paper focuses on the problem of route planning and resource allocation for UAVs. A method based on simulated annealing and double deep Q network is proposed, and simulation results show that it can improve the system communication capacity and successful transmission probability.

IEEE ACCESS (2022)

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Proceedings Paper Automation & Control Systems

The Path Planning Study of Multi-task Logistics UAVs Under Complex Low Airspace

Chentong Xiang et al.

Summary: This paper proposes a UAV path planning algorithm based on the combination of ant colony algorithm and unnecessary point deletion strategy, which can solve the TSP problem under the condition of multiple obstacles, resulting in a shorter path and faster convergence speed.

PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) (2021)

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Proceedings Paper Engineering, Aerospace