Understanding the sensor technologies and automation levels at the heart of autonomous cars’ functioning is essential as they transform the transportation sector. This study explores the wide range of sensor technology used in self-driving cars, including LiDAR, radar, cameras, and ultrasonic sensors. The transition from driver assistance systems to completely autonomous cars is emphasized, and it also offers insights into the degrees of automation that organizations, like SAE International have established. This study provides light on the changing capabilities and difficulties of autonomous cars by examining the synergy between sensor technologies and automation levels, providing insightful viewpoints for scholars, engineers, and policymakers working in the area of autonomous transportation. Autonomous vehicles, often known as driverless or self-driving cars, run without the assistance of a person. The technology of autonomous vehicles has advanced significantly in recent years, but depending on the extent of automation, varied amounts of human input are still required. Within the next three to seven years, completely autonomous vehicles will be a reality, according to experts. In-depth examination of the technologies used by autonomous cars to sense their environment and the degrees of automation they display is done in this study. Additionally, it assesses the potential short- and long-term effects of driverless technology, including both good and negative effects, taking into account factors like energy usage and greenhouse gas emissions. It emphasizes how crucial it is to solve any possible issues with autonomous cars by putting secure regulations and technology in place, as explained in the study. The future of mobility will be changed by autonomous cars as they are developed further to improve safety, efficiency, and integration into existing transportation networks.


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    Titel :

    Exploring Sensor Technologies and Automation Levels in Autonomous Vehicles


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Verma, Om Prakash (Herausgeber:in) / Wang, Lipo (Herausgeber:in) / Kumar, Rajesh (Herausgeber:in) / Yadav, Anupam (Herausgeber:in) / Khare, Mayank Deep (Autor:in) / Raghavendra, R. (Autor:in)

    Kongress:

    International Conference on MAchine inTelligence for Research & Innovations ; 2023 ; Jalandhar, India September 01, 2023 - September 03, 2023



    Erscheinungsdatum :

    2024-01-13


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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