Abstract This paper deals with the initial phase of any multi-sensor acquisition, the sensor alignment process. We focus on extrinsic calibration of vision-based and line scan LIDAR sensors for automotive application. We investigate two research approaches for the calibration process: analytical and numeric solutions. Additionally, we present a complete implementable tool-chain, to extract the co-features for both types of sensors: line detections for cameras and segmentation process for LIDAR sensors. Moreover, we investigate the impact of the calibration accuracy on sensor fusion performance. Results of experiments using real-world data are presented.


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    Titel :

    A Comprehensive Approach for Camera/LIDAR Frame Alignment


    Beteiligte:
    Bouain, Mokhtar (Autor:in) / Berdjag, Denis (Autor:in) / Fakhfakh, Nizar (Autor:in) / Atitallah, Rabie (Autor:in)


    Erscheinungsdatum :

    2019-04-18


    Format / Umfang :

    25 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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