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

Haoyang Zhou

doi:10.47297/taposatWSP2633-456920.20250602

PDF
导出
分享
收藏
专辑

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

6卷第2期

浏览量: 0 Downloads: 0

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
2025年6卷第2期页码：96-105
纸质出版日期：2025-02-25
DOI：10.47297/taposatWSP2633-456920.20250602
Accepted：

Scan QR Code

(2025). Research on UAV Delivery Planning Based on Deep learning and Visual SLAM. 科技理论与实践（英文版）, 6(2), 96-105.

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.
(2025). Research on UAV Delivery Planning Based on Deep learning and Visual SLAM. 科技理论与实践（英文版）, 6(2), 96-105. DOI： 10.47297/taposatWSP2633-456920.20250602.

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

WANG Xia, ZUO Yifan. Advances in visual SLAM research[J]. CAAI transactions on intelligent systems, 2020, 15(5): 825–834.

Liu Mingzhu, Chen Rui, Chen Junyu, et al. B-Spline-ORB Feature Point Extraction Algorithm[J]. Journal of Harbin University of Science and Technology,2022,27(3):97-104.

Shan Tingjia. Research on Nearest Neighbor Search Algorithm Based on Image Features[D]. Anhui: University of Science and Technology of China,2017.

Wu Xueyan, Wang Shuihua, Zhang Yudong. Review of K-Nearest Neighbor Algorithm Theory and Application[J]. Computer Engineering and Applications,2017,53(21):1-7.

Jiang Ming. Research on map construction method based on sparse features of visual SLAM[D ] . Guangdong:Guangdong University of Technology,2023 (in Chinese) .

ZHAO Jiaran. Three-dimensional dense map reconstruction based on visual SLAM[D]. Zhongyuan Institute of Technology, 2023.

CAI Jundong. Research on visual SLAM loopback detection[D]. Inner Mongolia:Inner Mongolia University of Science and Technology, 2022.

Mo Xiaorui, Zhang Weiyi, Nian Cheng, et al. A Review of Beam Adjustment Optimization Chips in Visual SLAM Robots[J]. integrated circuits and embedded systems,2024,24(11):29-40.

Mo Xiaorui, Zhang Weiyi, Nian Cheng, et al. A Review of Beam Adjustment Optimization Chips in Visual SLAM Robots[J]. integrated circuits and embedded systems,1999,24(3):209-212.

LIU Zhijun,SU Liang,WU Shaoxiong. Development of Local Planning Method for Obstacle Avoidance Path Based on AStar Algorithm[J]. Bus Technology and Research,2023,45(3):6-9.

Geng Hongfei,Shen Jianjie. Improvement and Verification of A* Algorithm in AGV Path Planning[J]. Computer applications and software,2022,39(1):282-286.

TANG Chuanyin, ZHANG Mingli, LI Jinghong, et al. Research on Takeaway Distribution Path Planning Based on Improved Ant Colony Algorithm[J]. Journal of Nanjing University of Information Science & Technology,2024,16(2):145-154.

Gu Haijiao. Research on UAV route trajectory planning algorithm[D]. Jilin: Changchun University of Technology,2021.

LIU Zihou. Research on Robot Path Planning Based on Improved Ant Colony Algorithm[D]. Anhui: Anhui University of Science and Technology,2023.

ZHAO Juanping. Research on ant colony optimization algorithm for path planning of mobile robot[D]. Liaoning:Northeastern University,2012.

文章被引用时，请邮件提醒。

Submit

Research on Path Planning Algorithm Combining Deep Reinforcement Learning and Theta* Algorithm

Related Author

Haoyang Qin School of Software, Shandong University

Related Institution

School of Software, Shandong University

⁰