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    The IEEE International Conference on Smart Mobility (SM) is designated for reporting recent research and development results in smart mobility systems and services, their challenging problems, and their potential applications.

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    © 2024 Copyright - All Rights Are Reserved - IEEE International Conference on Smart Mobility (SM)
    Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
    IEEE International Conference on Smart Mobility (IEEESM)
    IEEESM'23 Registration
    Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions. On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems. This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
    Ramesh S Senior Technical Fellow, General Motors, USA
    Panel Moderator
    Arun Adiththan Senior Researcher, General Motors, USA
    Panel Moderator
    Panel Description
    Overlay Image
    Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
    IEEE International Conference on Smart Mobility (IEEESM)
    IEEESM'23 Registration
    Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions. On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems. This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
    Ramesh S Senior Technical Fellow, General Motors, USA
    Arun Adiththan Senior Researcher, General Motors, USA
    Panel Moderator
    Panel Description
    Panel Moderator
    Overlay Image