Driving is the primary means of transportation for many people around the world. Whether the use is to assist human drivers or create autonomous driving, the use of machine learning can create safer road conditions. Drivers must consider other objects on the road, most commonly other vehicles, and pedestrians. These three components, road signs, pedestrians, and vehicles make up a large majority of objects that a driver will encounter when on the road. This research applies machine learning algorithms, specifically Convolutional Neural Networks (CNN), to classify these road objects. The goal is to create a classification model that can reliably classify road objects and classify the different road signs into individual classes. The results showed high accuracy in classifying the objects, even at lower resolutions and poor conditions. An accuracy of 99.13% was achieved on the test set of all classes and an accuracy of 97.45% on the German Traffic Sign Recognition Benchmark competition dataset from the 2011 International Joint Conference on Neural Networks (IJCNN).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Classification of Road Objects Using Convolutional Neural Networks


    Beteiligte:
    Patel, Mann (Autor:in) / Elgazzar, Heba (Autor:in)


    Erscheinungsdatum :

    2023-03-08


    Format / Umfang :

    874593 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Grasping Unknown Objects Using Convolutional Neural Networks

    Krishna Prasad, Pranav (M.Sc.) | BASE | 2020

    Freier Zugriff

    Grasping Unknown Objects Using Convolutional Neural Networks

    Krishna Prasad, Pranav / Stähle, Benjamin / Chernov, Igor et al. | BASE | 2020

    Freier Zugriff

    Space Objects Classification via Light-Curve Measurements Using Deep Convolutional Neural Networks

    Linares, Richard / Furfaro, Roberto / Reddy, Vishnu | Springer Verlag | 2020


    Assessment of Deep Convolutional Neural Networks for Road Surface Classification

    Nolte, Marcus / Kister, Nikita / Maurer, Markus | IEEE | 2018


    Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks

    Busch, Alexander / Fink, Daniel / Laves, Max-Heinrich et al. | Springer Verlag | 2020