Disclosed are techniques for lane estimation. In aspects, a method includes receiving a plurality of camera frames captured by a camera sensor of a vehicle, assigning a first subset of the plurality of camera frames to a deep learning (DL) detector and a second subset of the plurality of camera frames to a computer vision (CV) detector based on availability of the DL and CV detectors, identifying a first set of lane boundary lines in a first camera frame processed by the DL detector, identifying a second set of lane boundary lines in a second camera frame processed by the CV detector, generating first and second sets of lane models based on the first and second sets of lane boundary lines, and updating a set of previously identified lane models based on the first set of lane models and/or the second set of lane models.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    HYBRID LANE ESTIMATION USING BOTH DEEP LEARNING AND COMPUTER VISION


    Beteiligte:
    BAIK YOUNG-KI (Autor:in) / LEE JEONG-KYUN (Autor:in) / HONG SEOK-SOO (Autor:in) / KIM DUCK HOON (Autor:in)

    Erscheinungsdatum :

    09.07.2020


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



    Hybrid lane estimation using both deep learning and computer vision

    BAIK YOUNG-KI / LEE JEONG-KYUN / HONG SEOK-SOO et al. | Europäisches Patentamt | 2023

    Freier Zugriff


    Enhanced Lane Detection for Autonomous Campus Shuttles Using Hybrid Computer Vision Techniques

    Aderoba, Olugbenga Adegbemisola / Ekezie, Gideon Onyinyechi / Mpofu, Khumbulani et al. | IEEE | 2024


    Vehicle Speed Estimation and Tracking Using Deep Learning and Computer Vision

    Sathyabama, B. / Devpura, Ashutosh / Maroti, Mayank et al. | Springer Verlag | 2022


    Lane estimation for autonomous vehicles using vision and LIDAR

    Huang, Albert Shuyu | DSpace@MIT | 2010

    Freier Zugriff