The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving takes a step forward to address breaking through the limitation of future automation applications, investigating in depth: Click here to access the full SAE EDGE TM Research Report portfolio.


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    Title :

    Human-like Decision-making and Control for Automated Driving


    Contributors:
    Lv, Chen (author)

    Publication date :

    2022-03-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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