Authors

Congratulations for all accepted papers in the IEEE International Conference on Smart Mobility IEEE (SM’23). This premier event provides a platform for researchers, industry professionals, and academics to exchange ideas, discuss the latest research findings, and present their work to a global audience. The conference will cover a wide range of topics related to smart mobility, including intelligent transportation systems, vehicle automation, connected vehicles, and smart city planning. By attending the conference, authors will have the opportunity to share their insights, engage with like-minded individuals, and contribute to the development of this rapidly evolving field. Registration for the conference is open now, and we encourage all authors to take advantage of the early bird rates. The conference promises to be a unique and valuable experience, and we look forward to welcoming you to the IEEE International Conference on Smart Mobility.

Ticket Types

IEEE Authors Registration

Accepted Papers Only

Payment through IEEE (SM) Secured Registration System

500$

Non-IEEE Member

Non-IEEE Authors Registration

Accepted Papers Only

Payment through IEEE (SM) Secured Registration System

550$

Important Notes

  • The conference is planned in King Abdullah University of Science & Technology (KAUST), Kingdom of Saudi Arabia, from March 19 to March 21, 2023.
  • One author must register as a full IEEE or Non-IEEE author registration through IEEE (SM) Website.
  • One full author registration covers up to two papers only.

Payment Methods

Online Payment
Credit Card (VISA, MasterCard, AE).

  • For Authors: Online Payment through IEEE (SM) Website Secured Payment Gateway.

Cancellation Policy

  • To cancel your registration, please notify the conference secretary in writing to [email protected].
  • Refunds will be made if the cancellation of the conference registration occurs by March 1, 2023, with an administration cost of US$50.
  • No refunds will be made after March 1, 2023, or for no shows.
  • All refunds will be issued within 30 days after the conference.

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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
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)
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