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Book Synopsis

With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles.

There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations ar

Artificial Intelligence for Autonomous Vehicles

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A Hardback by Rajendran

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    View other formats and editions of Artificial Intelligence for Autonomous Vehicles by Rajendran

    Publisher: John Wiley & Sons Inc
    Publication Date: 5/2/2024
    ISBN13: 9781119847465, 978-1119847465
    ISBN10: 111984746X
    Also in:
    Computer aided manufacture (CAM)

    Description

    Book Synopsis

    With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles.

    There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations ar

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