Terrain-relative navigation (TRN) encompasses a wide variety of algorithms that perform localization with respect to the terrain below a flying vehicle. In traditional approaches, measurements of the terrain are matched to a map carried onboard. This work presents a TRN filter with a position measurement inspired by neural activity associated with positioning in nature. The filter is shown to produce accurate position measurements that outperform popular optimization and template matching methods given poor prior knowledge of the position. The proposed method is also better-suited to distributed implementation than optimization-based methods.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Terrain-Relative Navigation With Neuro-Inspired Elevation Encoding


    Beteiligte:


    Erscheinungsdatum :

    2024-06-01


    Format / Umfang :

    3349050 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Terrain Relative Navigation Basics

    Carolina Restrepo / Andrew Johnson | NTRS


    Terrain Relative Navigation With Anonymous Features

    McCabe, James S. / DeMars, Kyle J. | AIAA | 2019


    Terrain Elevation Data Integrity Monitor and Referenced Navigation

    Vadlamani, Ananth K. / de Haag, Maarten Uijt | AIAA | 2009


    Mars 2020 Terrain Relative Navigation

    Johnson, Andrew E | NTRS | 2021


    Mars 2020 Terrain-Relative Navigation Overview

    Chen, Al / Johnson, Andrew | NTRS | 2019