This chapter breaks down the costs of existing autonomous driving systems and demonstrates that the high costs of sensors, computing systems, and High‐Definition maps are the major barriers of autonomous driving deployment. The typical sensors used in autonomous driving include Global Navigation Satellite System (GNSS), Light Detection and Ranging, cameras, radar and sonar: GNSS receivers, especially those with real‐time kinematic capabilities, help autonomous vehicles localize themselves by updating global positions with at least meter‐level accuracy. Many major autonomous driving companies, such as Waymo, Baidu, and Uber, and several others are engaged in a competition to design and deploy the ultimate ubiquitous autonomous vehicle which can operate reliably and affordably, even in the most extreme environments. The keys to enable affordability and reliability include using sensor fusion, modular design, and high‐precision visual maps. The chapter also presents an overview of the key concepts discussed in the subsequent chapters of this book.


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    Title :

    Affordable and Reliable Autonomous Driving Through Modular Design


    Contributors:


    Publication date :

    2020-04-13


    Size :

    12 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English