A Novel Relocating Recognition Algorithm in Overlapping Region for Multi-UAVs Cluster

Chen Li, Xuelei Qi, Juntao Zhao, Xuanhong Liao, Zitian Lin, Hongjun Ma, Xinkai Liang
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Abstract

How improve the mapping efficiency and location accuracy of the multi-UAV cluster based on the distributed SLAM technology is a significant problem in overlapping regions. Therefore, this paper mainly proposes a novel relocation recognition algorithm for the multi-UAV cluster. First, the autonomous localization algorithm based on visual-inertial fusion is proposed. Then, the algorithm for vocabulary updating and relocating is designed. Finally, practical testing is implemented to verify and improve the efficiency of exploration ability and the accuracy of the autonomous navigation and positioning in the complex overlapping regions.
一种新的多无人机集群重叠区域定位识别算法
如何提高基于分布式SLAM技术的多无人机集群的制图效率和定位精度是重叠区域的重要问题。因此,本文主要针对多无人机集群提出一种新的定位识别算法。首先,提出了基于视觉-惯性融合的自主定位算法。然后,设计了词汇更新和重定位算法。最后,进行了实际测试,验证和提高了在复杂重叠区域的探测能力效率和自主导航定位精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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