Assistant Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada
Charlie Garnett
Vehicle Architect, Accessibility Management, General Motors, USA
Alan Hejl
Founder & Lead Consultant, Spark Access, USA
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Zeinab El-Sayegh
Assistant Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada
François Pomerleau
Associate Professor, Université Laval, Canada
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Mohamed El-Darieby
Associate Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada
Sanaa Alwidian
Assistant Professor, Faculty of Engineering and Applied Science, Ontario Tech University, Canada
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Stacey Marmara
Product Owner, General Motors, Canada
Travis Martin
Senior Development Officer, Ontario Tech University, Canada
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Director, Research Office | Lecturer, MUBS, Lebanon | Global Innovation & Entrepreneurship Company
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Marketing Communications Manager, Global Innovation & Entrepreneurship Company, UAE
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Art Director, Global Innovation & Entrepreneurship Company, UAE
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Doctoral Researcher, IoTResearchLab.ca | Teaching Assistant, OTU
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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.
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
Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
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