IEEESM'24 is held this year at

King Abdullah University of Science and Technology (KAUST), in the Kingdom of Saudi Arabia.

The Kingdom of Saudi Arabia is the largest country in the Arabian Peninsula. It occupies an area about the size of the United States east of the Mississippi River. Saudi Arabia’s population is 27 million, including 8.4 million foreign residents (2010 census),  and its capital city is Riyadh.

The KSA makes an ideal choice for the country's embraced vision, Vision 2030.

 

Vision 2030 of KSA, embracing livable green cities, the Saudi Green Initiative (SGI) and Middle East Green Initiative (MGI), represents an ambitious roadmap that rallies the region and drives the Kingdom on its path to sustainability. The Kingdom’s Vision 2030 inspires others around the world to share in building a sustainable tomorrow. Smart mobility falls within the Vision 2030 as it contributes to green sustainable cities as it minimizes the environmental footprint of mobility and optimizes the predictability, reliability, and cost-effectiveness of mobility.

With sustainability at the heart of everything the kingdom does, from policy development and investment to planning and infrastructure. By creatively and responsibly addressing the energy and climate challenges of today, Vision 2030 inspires others around the world to share in building a sustainable tomorrow. Smart mobility is one of a smart city’s pillars. Smart mobility contributes to green sustainable cities as it minimizes the environmental footprint of mobility and optimizes the predictability, reliability, and cost-effectiveness of mobility.

King Abdullah University of Science and Technology (KAUST)

As for KAUST, the university aspires to be a destination for scientific and technological education and research, inspiring discoveries to address global challenges for the betterment of humanity. That’s why KAUST is our destination this year, since we share the same goal.

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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