Registration

We are thrilled to welcome you to the IEEE International Conference on Smart Mobility. As a premier event for exchanging ideas, advancing research, and discussing the latest developments in the field of smart mobility, this conference is a unique opportunity to engage with leading experts, researchers, and professionals. Our aim is to bring together individuals from a wide range of backgrounds and perspectives to facilitate the exchange of knowledge, foster collaboration, and drive innovation in the field. By registering for this conference, you will have access to exciting keynote speeches, informative technical sessions, and ample networking opportunities. Join us and be a part of shaping the future of smart mobility.

Special Attendance Certificate

Certificate of Attendance will be issued for attending the conference activities, taking place between September 16th and September 18th, 2024, at Crowne Plaza Niagara Falls-Fallsview, Ontario, Canada.
Attendance Certificates are verified from IEEE and IEEE (SM) Organizing Committee.

If you an author, then please go to author registration page as “One author” must register as an author registration IEEE or non-IEEE

Ticket Types

Early Bird Discounts

IEEE Attendee Registration

Payment through IEEE (SM) Secured Registration System

Early Bird Discounts

Non-IEEE Member

Non-IEEE Attendee Registration

Payment through IEEE (SM) Secured Registration System

Registration fees will be charged in CAD.

Deadline: August 2nd

Don't miss the Early Bird Discounts

Important Notes

  • The conference is planned at Crowne Plaza Niagara Falls-Fallsview, Ontario, Canada, from September 16 to September 18, 2024.

Payment Methods

Online Payment
Credit Card (VISA, MasterCard).
Mobile Payment Systems (Apple Pay® and Google Pay™).

  • For Attendees: 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 September 1, 2024, with an administration cost of US$50.
  • No refunds will be made after September 1, 2024, or for no shows.
  • All refunds will be issued within 30 days after the conference.

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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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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