Emergency vehicles such as ambulances and fire engines get stuck in a heavy traffic may lead to the loss of valuable lives. To overcome this problem, a framework is proposed to detect emergency vehicle in heavy traffic, using Region-Based Convolutional Neural Network (RCNN) to take quick decisions. When an ambulance comes in a particular direction in a traffic signal, the controller detects and checks for the density of traffic and speed of the vehicle in a particular direction and also calculates the time taken by the emergency vehicle to cross the road. Based on the information received, the controller alerts the alternate roads, by displaying a red signal for a particular time in its path. Once the emergency vehicle passes away from the signal, the master control has to be reset for maintaining the normal traffic flow.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Emergency Vehicle Detection in Traffic Surveillance Using Region-Based Convolutional Neural Networks


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Komanapalli, Venkata Lakshmi Narayana (Herausgeber:in) / Sivakumaran, N. (Herausgeber:in) / Hampannavar, Santoshkumar (Herausgeber:in) / Uma, K. (Autor:in) / Sathya Bama, B. (Autor:in) / Maheesha, M. (Autor:in)

    Kongress:

    International Conference on Automation, Signal Processing, Instrumentation and Control ; 2020 February 27, 2020 - February 28, 2020



    Erscheinungsdatum :

    05.03.2021


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Emergency Vehicle Detection in Traffic Surveillance Using Region-Based Convolutional Neural Networks

    Uma, K. / Bama, B. Sathya / Maheesha, M. | British Library Conference Proceedings | 2021


    Emergency Vehicle Detection Using Deep Convolutional Neural Network

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


    Glaucoma Detection using Mask Region-Based Convolutional Neural Networks

    Patel, Akanksha Singh / Singh, Varun | IEEE | 2021


    Real Time Density Based Traffic Surveillance System Integrated with Acoustic Based Emergency Vehicle Detection

    Moka, Sai Surya Prakash / Pilla, Sai Manikanta / Radhika, S. | IEEE | 2020