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Titlebook: Resilient Fusion Navigation Techniques: Collaboration in Swarm; Rong Wang,Zhi Xiong,Jianye Liu Book 2023 The Editor(s) (if applicable) and

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樓主: Agitated
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發(fā)表于 2025-3-23 11:43:49 | 只看該作者
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發(fā)表于 2025-3-23 14:06:22 | 只看該作者
Book 2023ed investigation on the navigation with the resilient character, which could maintain the performance by essential collaboration with members in swarm in GNSS degradation environment. . This book focused on the resilient navigation techniques under the background of collaboration in swarm. The key t
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發(fā)表于 2025-3-23 18:05:32 | 只看該作者
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發(fā)表于 2025-3-24 01:21:28 | 只看該作者
Book 2023ses on the navigation enhancement by collaboration in swarm rather than ground infrastructure, which exploit potentialities of swarm in GNSS restricted environment. .Although unmanned swarm is receiving greater attention, both through theoretical research and through increasing mention in the indust
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發(fā)表于 2025-3-24 02:34:42 | 只看該作者
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發(fā)表于 2025-3-24 08:08:07 | 只看該作者
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發(fā)表于 2025-3-24 13:14:05 | 只看該作者
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發(fā)表于 2025-3-24 17:55:16 | 只看該作者
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發(fā)表于 2025-3-24 21:49:30 | 只看該作者
Collaborative Fault Detection in Resilient Navigation,olation. In this chapter, fault detection, identification, and exclusion based on collaborative integrity augmentation are discussed. Multifault detection based on multiple hypothesis solution separations in collaborative resilient navigation fusion for an aerial swam is proposed, with simulated examples.
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發(fā)表于 2025-3-25 01:18:10 | 只看該作者
Introduction,ity. Unlike in traditional airborne and ground-based navigation augmentation, unmanned swarms can achieve resilient navigation fusion capabilities through intermember collaboration. This chapter discusses the advantages of an aerial swarm and the benefits of introducing collaboration in the swarm. T
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