Spacecraft optical navigation (OpNav) systems process a sequence of images of celestial bodies against a starfield background to estimate the position and velocity of the vehicle. While attitude is sometimes available from an onboard star tracker, it is often desirable to recognize the background stars in the OpNav images to better align the image. While many image processing algorithms exist for finding stars, efficiency and reliability remain key issues in the presence of extended bodies(e.g. the Moon, Earth), especially when attempting to solve the full lost-in-space problem. Some star outliers(stars identified with high residuals)could appear in the camera field of view, however using them in the attitude estimation or camera calibration would lead to less accurate results. Therefore, we require new and robust approaches to remove these outliers before any further processing. The emphasis of the work is on developing a simple and robust iterative technique to detect and reject the outliers which could be found in any frame during the lost in space attitude determination or during the camera calibration. These outliers are determined based on the residuals of the centroids of the detected stars and the corresponding location using the star catalog. If the residuals exceed a predetermined threshold value, the object will be detected as an outlier and will be removed before another attitude determination and calibration iteration is performed. The performance for both attitude determination and on-orbit camera calibration are improved by an almost two-fold increase in accuracy when applying this outlier rejection technique.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Optical Navigation Attitude Estimation and Calibration Performance Improvement using Outlier Rejection


    Beteiligte:
    Malak Samaan (Autor:in) / Ronney Lovelace (Autor:in) / Riana Pecourt (Autor:in) / Greg Holt (Autor:in)

    Kongress:

    44th Annual AAS Guidance, Navigation and Control Conference ; 2022 ; Breckenridge, CO, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    OPTICAL NAVIGATION ATTITUDE ESTIMATION AND CALIBRATION PERFORMANCE IMPROVEMENT USING OUTLIER REJECTION

    Samaan, Malak / Lovelace, Ronney / Pécourt, Riana et al. | Springer Verlag | 2024


    Improving radar-based mini-UAS navigation in complex environments with outlier rejection

    Scannapieco, Antonio F. / Graziano, Maria D. / Fasano, Giancarmine et al. | AIAA | 2019


    Efficient energy-based topological outlier rejection

    Baráth, Dániel | British Library Online Contents | 2018


    Outlier rejection in high-dimensional deformable models

    Vogler, C. / Goldenstein, S. / Stolfi, J. et al. | British Library Online Contents | 2007