A system and method for predicting object detection and lane detection for a motor vehicle includes a convolution neural network (CNN) that receives an input image and a lane line module. The CNN includes a set of convolution and pooling layers (CPL's) trained to detect objects and lane markings from the input image, the objects categorized into object classes and the lane markings categorized into lane marking classes to generate a number of feature maps, a fully connected layer that receives the feature maps, the fully connected layer generating multiple object bounding box predictions for each of the object classes and multiple lane bounding box predictions for each of the lane marking classes from the feature maps, and a non-maximum suppression layer generating a final object bounding box prediction for each of the object classes and generating multiple final lane bounding box predictions for each of the lane marking classes.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Convolutional neural network system for object detection and lane detection in a motor vehicle


    Beteiligte:
    MANSOUR IYAD FAISAL GHAZI (Autor:in) / UMAT AKHIL (Autor:in) / JAIN KALASH (Autor:in)

    Erscheinungsdatum :

    2020-12-01


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



    CONVOLUTIONAL NEURAL NETWORK SYSTEM FOR OBJECT DETECTION AND LANE DETECTION IN A MOTOR VEHICLE

    MANSOUR IYAD FAISAL GHAZI / UMAT AKHIL / JAIN KALASH | Europäisches Patentamt | 2020

    Freier Zugriff

    Nighttime Vehicle Detection Based on Lane Information and Detector with Convolutional Neural Network Features

    Zhang, Bingli / Zheng, Jieyu / Jiang, Shang et al. | British Library Conference Proceedings | 2020


    Nighttime Vehicle Detection Based on Lane Information and Detector with Convolutional Neural Network Features

    Zhang, Bingli / Qin, Haoran / Zheng, Jieyu et al. | SAE Technical Papers | 2020


    Emergency Vehicle Detection Using Deep Convolutional Neural Network

    Haque, Samiul / Sharmin, Shayla / Deb, Kaushik | Springer Verlag | 2022


    Convolutional Neural Networks for Object Detection

    Romão, Bruno / Fagotto, Eric | SAE Technical Papers | 2024