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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
21#
發(fā)表于 2025-3-25 04:01:31 | 只看該作者
Collaborative Resilient Navigation Frameworks,ile, there are different frameworks for fusing observations in collaborative navigation. These structures and frameworks determine the various approaches for realizing resilient navigation fusion through collaboration in an aerial swarm. This chapter discusses the leader–follower, parallel, and hier
22#
發(fā)表于 2025-3-25 11:29:10 | 只看該作者
Modelling for Resilient Navigation via Collaboration,borative resilient fusion vary with the available relative measurement sensors. Therefore, it is necessary to perform modelling in accordance with the constraint properties of different relative observations of navigation parameters. This chapter discusses the modelling of collaborative observations
23#
發(fā)表于 2025-3-25 12:26:44 | 只看該作者
24#
發(fā)表于 2025-3-25 15:58:04 | 只看該作者
Collaborative Observation-Based Resilient Navigation Fusion,servations from collaborating anchor members are directly fused with the local measurements without performing localization first. On the basis of collaborative observation modelling, this chapter discusses collaborative observation-based navigation algorithms with hierarchical and parallel collabor
25#
發(fā)表于 2025-3-25 22:24:26 | 只看該作者
26#
發(fā)表于 2025-3-26 02:08:11 | 只看該作者
27#
發(fā)表于 2025-3-26 07:05:24 | 只看該作者
Collaborative Fault Detection in Resilient Navigation,roduction of observations from optimally configured collaborative partners, thus improving the capabilities of fault detection, identification, and isolation. In this chapter, fault detection, identification, and exclusion based on collaborative integrity augmentation are discussed. Multifault detec
28#
發(fā)表于 2025-3-26 09:39:46 | 只看該作者
29#
發(fā)表于 2025-3-26 14:54:31 | 只看該作者
30#
發(fā)表于 2025-3-26 17:49:13 | 只看該作者
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