Intelligent transport is now a vital facilitator of the smart city concept, with navigation serving as a crucial component. Recently, software as well as hardware research have focused a lot of emphasis on automated vehicles (AV). The AV now provides more flexible and efficient industrial and transportation system solutions. The navigation strategy used by an AV is crucial to its functionality. Even if using AV navigation seems appropriate and sufficient, making the choice is not simple. Systems based on the Automated Vehicles (AV) arise to offer car users navigation services, and they are distinguished by using Roadside Units (RSUs) to gather data on the state of the roads from surrounding vehicles. However, the design of the vehicle navigation systems must adhere to strict performance standards for autonomous operations. Relevant performance metrics take into account the system’s accuracy as well as its capacity to identify sensor problems within a given Time-to-Alert (TTA) window and without producing a false alarm. However, they solely concentrate on collecting features from the traffic patterns of isolated or nearby intersections, despite recent research using deep reinforcement learning algorithms for traffic light control showing promising outcomes. In this paper, different navigation techniques and algorithms that are used for smart navigation are explained. In order to provide readers an idea of how Reinforcement Learning may be used in an autonomous vehicle for navigation is discussed in this article incorporation of artificial intelligence (AI).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Review on Smart Navigation Techniques for Automated Vehicle


    Additional title:

    EAI/Springer Innovations in Communication and Computing


    Contributors:


    Publication date :

    2024-04-13


    Size :

    21 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    AUTOMATED DRIVING VEHICLE NAVIGATION

    CURT DVONCH / JONATHAN NAZEMI | European Patent Office | 2019

    Free access

    Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept

    Wang, Kui / Li, Zongdian / Nonomura, Kazuma et al. | IEEE | 2024

    Free access


    Navigation Sensors Architecture for the Automated Transfer Vehicle

    Dussy, S. / Delaux, P. / Simon, P. et al. | British Library Conference Proceedings | 2002


    AUTOMATED MARINE NAVIGATION

    JOHNSON MICHAEL GORDON / LAMM LAUREN ANNE | European Patent Office | 2022

    Free access