The previous chapter introduces a vision-based leader-follower queue maneuvering approach for multi-UGV systems moving in unknown cluttered environments. The introduced approach aims to construct a queue configuration which constrains the distance and bearing angle of the leader with respect to the follower. Besides, it uses the detection results of vision-based technique directly without taking measurement noise into consideration. This chapter considers the same problem scenario as the previous chapter, i.e., vision-based detection and unknown cluttered environments, but discusses a different fleet configuration, flexible configuration. Furthermore, measurement noise of vision detection has been taken into account. The proposed approach in this chapter has also been demonstrated by real UGV experiments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments


    Weitere Titelangaben:

    Spr.Tracts in Adv.Robotics


    Beteiligte:
    Wang, Yuanzhe (Autor:in) / Wang, Danwei (Autor:in)


    Erscheinungsdatum :

    2022-09-22


    Format / Umfang :

    18 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments

    Wang, Yuanzhe / Wang, Danwei | Springer Verlag | 2022


    Anchor-Based Flexible Fleet Maneuvering in Open Environments

    Wang, Yuanzhe / Wang, Danwei | Springer Verlag | 2022


    Robotic planetary exploration : autonomous navigation in cluttered unknown environments

    Torres, Alejandro / Maurette, Michel / Moreno, Sabine et al. | AIAA | 2012


    Robotic Planetary Exploration : Autonomous Navigation in Cluttered Unknown Environments

    Torres, A. / Maurette, M. / Moreno, S. et al. | British Library Conference Proceedings | 2012