Registration

F1Tenth Competition

Nimrod Barshad

Nimrod Barshad

Painter, Sculptor, Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Nimrod Barshad
Sculptor, Conceptual Artist
+61986543210 /
Tankha Atska

Tankha Atska

Abstract Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Tankha Atska
Abstract Artist
+61986543210 /
Nimrod Barshad

Nimrod Barshad

Painter, Sculptor, Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Nimrod Barshad
Painter, Conceptual Artist
+61986543210 /
Tommy Martinez

Tommy Martinez

Painter, Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Tommy Martinez
Painter, Conceptual Artist
+61986543210 /
Linda M. Dugan

Linda M. Dugan

Conceptual Artist

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Linda M. Dugan
Conceptual Artist
+61986543210 /
Henry Merparlo

Henry Merparlo

Painter, Sculptor

Augue ut lectus arcu bibendum at varius vel pharetra vel. Vestibulum lorem sed risus ultricies. In curs turpis massa tincidunt dui ut ornare.

Henry Merparlo
Painter, Sculptor
+61986543210 /

F1/10 F1TENTH Autonomous Racing is a semi-regular competition organized by an international community of researchers, engineers, and autonomous systems enthusiasts. The teams participating in 19th F1TENTH Grand Prix at MS 2024 will build a 1:10 scaled autonomous race car according to a given specification and write software for it to fulfill the objectives for the competition: Don’t crash and minimize laptime.

 
Organizers:
 
  • Khalid Elgazzar, Ontario Tech University, Canada
  • Zeinab El-Sayegh, Ontario Tech University, Canada
  • Francois Pomerleau, Laval University, Canada
  • Rahul Mangharam, University of Pennsylvania, USA
  • Ammar Elmoghazy, Ontario Tech University, Canada
  • Ahmad Amine, University of Pennsylvania, USA

Subscribe Newsletter

[mc4wp_form id="4846"]

Hurry Up!

To Register

Register With Us as soon as possible

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.

Linkedin Facebook Twitter Instagram Youtube

Important Links

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