The geometry of the collaborating partners is one of the factors that influence the effectiveness of collaborative resilient navigation. In this chapter, an improved geometric dilution of precision is introduced to quantitatively evaluate geometric configurations in collaborative resilient navigation fusion. The influence of geometry on the accuracy of collaborative resilient navigation fusion is discussed in both the GNSS-augmented and GNSS-denied situations. Geometry optimization algorithms based on a geometric analysis method and an algebraic search method are proposed, with simulated examples.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Collaborative Geometry Optimization in Resilient Navigation


    Additional title:

    Unmanned Syst. Tech.


    Contributors:
    Wang, Rong (author) / Xiong, Zhi (author) / Liu, Jianye (author)


    Publication date :

    2023-01-01


    Size :

    30 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Collaborative Resilient Navigation Frameworks

    Wang, Rong / Xiong, Zhi / Liu, Jianye | Springer Verlag | 2023


    Collaborative Fault Detection in Resilient Navigation

    Wang, Rong / Xiong, Zhi / Liu, Jianye | Springer Verlag | 2023


    Collaborative Observation-Based Resilient Navigation Fusion

    Wang, Rong / Xiong, Zhi / Liu, Jianye | Springer Verlag | 2023


    Collaborative Integrity Augmentation in Resilient Navigation

    Wang, Rong / Xiong, Zhi / Liu, Jianye | Springer Verlag | 2023


    Resilient Multi-Agent Collaborative Spacecraft Inspection

    Choi, Changrak / Nakka, Yashwanth Kumar / Rahmani, Amir et al. | IEEE | 2023