群体行为
计算机科学
无人机
计算机视觉
人工智能
可观测性
全向照相机
里程计
全向天线
初始化
全球定位系统
机器人
移动机器人
数学
天线(收音机)
电信
应用数学
程序设计语言
遗传学
生物
作者
H. Xu,Yichen Zhang,Boyu Zhou,Luqi Wang,Xinjie Yao,Guotao Meng,Shaojie Shen
出处
期刊:IEEE Transactions on Robotics
[Institute of Electrical and Electronics Engineers]
日期:2022-12-01
卷期号:38 (6): 3374-3394
被引量:10
标识
DOI:10.1109/tro.2022.3182503
摘要
Decentralized state estimation is one of the most fundamental components of autonomous aerial swarm systems in GPS-denied areas yet it still remains a highly challenging research topic. Omni-swarm, a decentralized omnidirectional visual-inertial-UWB state estimation system for aerial swarms, is proposed in this paper to address this research niche. To solve the issues of observability, complicated initialization, insufficient accuracy, and lack of global consistency, we introduce an omnidirectional perception front-end in Omni-swarm. It consists of stereo wide-FoV cameras and ultra-wideband sensors, visual-inertial odometry, multi-drone map-based localization, and visual drone tracking algorithms. The measurements from the front-end are fused with graph-based optimization in the back-end. The proposed method achieves centimeter-level relative state estimation accuracy while guaranteeing global consistency in the aerial swarm, as evidenced by the experimental results. Moreover, supported by Omni-swarm, inter-drone collision avoidance can be accomplished without any external devices, demonstrating the potential of Omni-swarm as the foundation of autonomous aerial swarms.
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