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Resilient fusion navigation techniquescollaboration in swarm /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Resilient fusion navigation techniquesby Rong Wang, Zhi Xiong, Jianye Liu.
其他題名:	collaboration in swarm /
作者:	Wang, Rong.
其他作者:	Xiong, Zhi.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xx, 213 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Navigation (Aeronautics)Technological innovations.
電子資源:	https://doi.org/10.1007/978-981-19-8371-9
ISBN:	9789811983719$q(electronic bk.)

Resilient fusion navigation techniquescollaboration in swarm /
Wang, Rong.

Resilient fusion navigation techniquescollaboration in swarm /[electronic resource] :by Rong Wang, Zhi Xiong, Jianye Liu. - Singapore :Springer Nature Singapore :2023. - xx, 213 p. :ill., digital ;24 cm. - Unmanned system technologies,2523-3742. - Unmanned system technologies..

Chapter 1 Introduction -- Chapter 2 Collaborative Resilient Navigation Frameworks -- Chapter 3 Modelling for Resilient Navigation via Collaboration -- Chapter 4 Collaborative Localization-Based Resilient Navigation Fusion -- Chapter 5 Collaborative Observation-Based Resilient Navigation Fusion -- Chapter 6 Collaborative Geometry Optimization in Resilient Navigation -- Chapter 7 Collaborative Integrity Augmentation in Resilient Navigation -- Chapter 8 Collaborative Fault Detection in Resilient Navigation -- Chapter 9 Summary and Scope.

This book describes the resilient navigation techniques under the background of collaboration in swarm. The significance of this work is that it focuses 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 industrial developments, the navigation promotion by effective and efficient collaboration remains largely unexplored. While my scholarly work has explored some of the modeling, error characteristic, fusion algorithm, fault detection, and isolation aspects of the "adaptive navigation system" (such as the navigation system of robots and ground vehicles, aircrafts, aerospace vehicles, and unmanned aerial vehicles), the present book proposes the specialized 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 techniques of collaborative resilient navigation are proposed, including the collaboration framework, collaborative observation modeling, geometry optimization, integrity augmentation, and fault detection. The experiments are also carried out to validate the effectiveness of the corresponding techniques.

ISBN: 9789811983719$q(electronic bk.)

Standard No.: 10.1007/978-981-19-8371-9doiSubjects--Topical Terms:

953978
Navigation (Aeronautics)
--Technological innovations.

LC Class. No.: TL589 / .W35 2022

Dewey Class. No.: 629.13251028

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