计算机科学
运动规划
互联网
路径(计算)
群体行为
控制(管理)
分布式计算
控制系统
计算机网络
物联网
人工智能
计算机安全
万维网
工程类
机器人
电气工程
作者
Xiaoying Zhang,Jiawei Zhang,Zhihao Mu,He Liu,Lei Xiao,Xiaojie Wang,Zhaolong Ning
标识
DOI:10.1109/jiot.2024.3523586
摘要
To address the problem of real-time path planning for autonomous aerial vehicle (AAV) formations in complex environments, this article proposes a hybrid path planning control system tailored for AAV-enabled Internet of Things (IoT) utilizing near-field communication (NFC) among them. We model the AAV formation problem as an undirected graph, and first design a virtual leader-follower method based on the consistency principle of distributed systems. After that, we present an innovative hybrid path planning method (named ASAP-A*), combining A* and artificial potential field methods. It effectively reduces redundant points in the path and optimizes the AAV trajectory by B-spline smoothing to meet AAV trajectory requirements. Finally, we construct a user-friendly AAV swarms formation control system based the proposed methods, tackling the complexity of operating existing systems, and verifying the effectiveness of our solutions.
科研通智能强力驱动
Strongly Powered by AbleSci AI