Research on UAV Delivery Planning Based on Deep learning and Visual SLAM

Haoyang Zhou

doi:10.47297/taposatWSP2633-456920.20250602

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Research on UAV Delivery Planning Based on Deep learning and Visual SLAM

Volume 6, Issue 2

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Research on UAV Delivery Planning Based on Deep learning and Visual SLAM
Research on UAV Delivery Planning Based on Deep learning and Visual SLAM
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210000, China
Vol. 6, Issue 2, Pages: 96-105(2025)
Published：25 February 2025
DOI：10.47297/taposatWSP2633-456920.20250602
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Zhou Haoyang.Research on UAV Delivery Planning Based on Deep learning and Visual SLAM[J].Theory and Practice of Science and Technology,2025,06(02):96-105.
DOI：

Zhou Haoyang.Research on UAV Delivery Planning Based on Deep learning and Visual SLAM[J].Theory and Practice of Science and Technology,2025,06(02):96-105. DOI： 10.47297/taposatWSP2633-456920.20250602.

摘要

Abstract

In recent years

with the rising demand for takeaways

customers' requirements for takeaway delivery efficiency have gradually increased. For this problem

a method of using UAVs as carriers for takeaway delivery is proposed

because UAVs do not need to consider traffic problems

the takeaway delivery time can be greatly shortened

and UAVs can be recycled and reused

and the distribution cost is also reduced. In this paper

we will use visual SLAM to simulate the delivery environment

and plan the path and calculate the optimal path based on deep learning reference A* algorithm and ant colony algorithm. Finally

the feasibility of the method is verified.

关键词

Keywords

references

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