Registration

F1Tenth Competition

F1Tenth Competition – Registration

Welcome to the registration page for the 19th F1TENTH Grand Prix at SM 2024! This semi-regular competition is organized by an international community of researchers, engineers, and autonomous systems enthusiasts. Teams participating in this exciting event will build a 1:10 scale autonomous race car according to given specifications and write software to achieve the competition’s objectives: avoid crashes and minimize lap time.

Register now to secure your spot and start a journey in the future of autonomous vehicle technologies!

Ticket Type

F1Tenth Competition Registration

Payment through IEEE (SM) Secured Registration System

50$

70$ CAD

Register Now!

Registration fees will be charged in CAD.

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

Cancellation Policy

  • To cancel your registration, please notify the conference secretary in writing to info@ieeesm.org.
  • 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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Conference Committees

© 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