Data-driven perception approaches are well-established in automated driving systems. In many fields even super-human performance is reached. Unlike prediction and planning approaches, mainly supervised learning algorithms are used for the perception domain. Therefore, a major remaining challenge is the efficient generation of ground truth data. As perception modules are positioned close to the sensor, they typically run on raw sensor data of high bandwidth. Due to that, the generation of ground truth labels typically causes a significant manual effort, which leads to high costs for the labelling itself and the necessary quality control. In this contribution, we propose an automatic labeling approach for semantic segmentation of the drivable ego corridor that reduces the manual effort by a factor of 150 and more. The proposed holistic approach could be used in an automated data loop, allowing a continuous improvement of the depending perception modules.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A System-driven Automatic Ground Truth Generation Method for DL Inner-City Driving Corridor Detectors


    Beteiligte:
    Ruthardt, Jona (Autor:in) / Michalke, Thomas (Autor:in)


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    2590959 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Method and system for determining a driving corridor

    SCHMIDT MANUEL / WISSING CHRISTIAN / HOMANN ANDREAS et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Cooperative Raw Sensor Data Fusion for Ground Truth Generation in Autonomous Driving

    Ye, Egon / Spiegel, Philip / Althoff, Matthias | IEEE | 2020


    Automatic driving corridor optimization construction method and system based on space-time joint planning

    LIAO WENLONG / YUAN ZIYE / HE TAO et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Evaluation of two-view geometry methods with automatic ground-truth generation

    Lakemond, R. / Fookes, C. / Sridharan, S. | British Library Online Contents | 2013