Wrong-way driving is one of the main causes of wrong-way crashes. This also contributes to increased traffic flow and accidents. As a consequence, every year thousands of people die in road accidents, and valuable working hours are wasted. Bangladesh is a highly populated country where the traffic police are still handling traffic monitoring manually. Consequently, they often overlook or ignore the wrong-way vehicle. To address these problems, the paper introduces an automated wrong-way vehicle detection system that can be used for monitoring wrong-way vehicles. The proposed system has three phases: Detect objects from the video clips, track the detected objects using DeepSORT, and lastly, identify the vehicles driving in the wrong direction. Additionally, we count the number of vehicles traveling in each direction, which can be used for further statistical analysis. Our proposed wrong-way detection model achieved an accuracy of 97.53%. The model is also converted to TFLite and Core ML model so that the model can be deployed on Android and macOS/iOS devices. The proposed solution will be a fundamental tool for vehicle monitoring, lowering road accidents, traffic law violations, criminal activities, and traffic congestion.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Automated System for Wrong-Way Vehicle Detection using YOLO and DeepSORT


    Beteiligte:


    Erscheinungsdatum :

    09.12.2023


    Format / Umfang :

    3978815 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Research on Improved YOLO and DeepSORT Ship Detection and Tracking Algorithms

    Qi, Bohan / Zhang, Pei / Huang, Wenbin | IEEE | 2024


    Bicycle Theft Detection by using YOLOv5s and DeepSORT algorithm

    ripa, Thamina Sultina / Hasib Khan, Tashfia Farah / Rokunuzzaman, Md. et al. | IEEE | 2024


    A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking

    Rahman, Zillur / Ami, Amit Mazumder / Ullah, Muhammad Ahsan | ArXiv | 2022

    Freier Zugriff


    Vehicle Surveillance Using U-NET Segmentation and DeepSORT Over Aerial Images

    Hanzla, Muhammad / Yusuf, Muhammad Ovais / Jalal, Ahmad | IEEE | 2024