One of the major challenging task is to maintain the Autonomous vehicles as well as to analyze the future transportation systems. To solve such kind of issues proposed three different technologies, Artificial Intelligence, Light Fidelity and LoRa has been analyzed. AI and LiFi technologies have the potential to revolutionize transportation systems, especially for autonomous vehicles. LiFi uses visible light for data transmission, offering higher rates, security, and energy efficiency. AI is crucial for autonomous vehicles, enabling real-time data transmission, secure communication, intelligent traffic management, and cooperative driving. Challenges include cost, range limitations, and infrastructure integration. The research proposes an innovative system combining LiFi as well as LoRa technologies to improve navigation in congested urban environments. The LiFi transmitter uses visible light to transmit location information to LiFi receivers in vehicles, providing continuous, seamless navigation even in areas without service. The system also broadcasts vehicle location to the outside world via a LoRa module, providing long-range and low-power navigation in non-serviceable locations like terrines, valleys, and tunnels. AI, LiFi, and LoRa are crucial technologies for autonomous vehicles and transportation systems. AI provides the "brain" for autonomous vehicles, while LiFi offers high-speed, secure, and interference-free communication. LoRa is ideal for long-range, low-data-rate communication, enabling accurate decision-making, enhanced safety, and efficient transportation. These technologies are essential for a future autonomous vehicle-friendly future.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Artificial Intelligence and Li-Fi for Autonomous Vehicles and Future Transportation Systems


    Beteiligte:
    Mishra, Sandeep (Autor:in) / Pandey, Bipin (Autor:in) / Kumar, Rajat (Autor:in) / Shukla, Kaustubh Kumar (Autor:in)


    Erscheinungsdatum :

    18.11.2024


    Format / Umfang :

    806979 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Artificial Intelligence Applications in Autonomous Vehicles Navigating the Future of Transportation Systems

    Gondhalekar Gaurav / Prem M Vigilson / P Mathiyalagan et al. | DOAJ | 2025

    Freier Zugriff

    Artificial intelligence for autonomous vehicles

    Rajendran, Sathiyaraj | TIBKAT | 2024



    Training artificial intelligence units for autonomous vehicles

    HEADEN THOMAS / WIESE CHRISTOPH | Europäisches Patentamt | 2022

    Freier Zugriff

    Impact of Connected Vehicles and Autonomous Vehicles on Future Transportation

    Lin, Pei-Sung / Wang, Zhenyu / Guo, Rui | ASCE | 2016