Page 41 - AI Standards for Global Impact: From Governance to Action
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AI Standards for Global Impact: From Governance to Action



                   5�9  Future of smart mobility


                   Talks on the future of smart mobility, focusing on the collaborative efforts between ITU and the
                   UN Economic Commission for Europe (UNECE) to drive innovation in the sector, considered         AI
                   the key takeaways from ITU-UNECE Future Networked Car Symposium, shedding light on how             Part 1: International
                   emerging technologies like AI are transforming transportation.

                   The session welcome Francois E. Guichard, UNECE Focal Point for Intelligent Transport Systems
                   and Automated Driving; Helen Pan, General Manager of Baidu Apollo; and Vincent Vanhoucke,
                   Distinguished Engineer at Waymo. 

                   A glimpse into the future of smart mobility was analysed with Baidu and Waymo providing
                   insights on key areas of focus for the future of smart mobility.

                   Some of the key highlights of the session were: 

                   •    Baidu's autonomous driving technology has achieved significant milestones, including
                        over 170 million km of public road testing, a 10X safety improvement over human
                        drivers, and 14X fewer insurance claims with over 1,000 driverless vehicles globally, while
                        prioritizing safety, trust, and collaboration with regulators for cautious expansion. 
                   •    Beyond safety, Baidu focuses on sustainability, accessibility, and inclusivity by integrating
                        its robotaxi service with public transportation, addressing underserved mobility needs
                        (e.g. rainy days and rush hours) and providing tailored solutions for women, senior citizens,
                        and vision-impaired users through features like touchless entry, voice commands, and
                        service dog accommodations. 
                   •    Autonomous driving technology uniquely requires real-time problem-solving, high
                        accuracy, and reliability, leveraging advanced AI algorithms and reasoning models. As
                        early adopters of AI advancements, the industry continues to integrate new innovations
                        to commercialize safer and more effective solutions. 
                   •    Waymo reported that autonomous driving technology has received overwhelmingly
                        positive public feedback, becoming a popular and trusted option across demographics,
                        with benefits like increased safety and convenience for women, parents, and teens, as well
                        as consistent and independent transportation experiences. 
                   •    With over 50 million miles driven, data shows significant safety improvements, including
                        a 92% reduction in pedestrian injuries and an 82% reduction in injuries to cyclists and
                        motorcyclists, highlighting the potential to save lives on a large scale as the service
                        expands. 
                   •    Waymo's successful launch of fully autonomous services in five cities, with increasingly faster
                        expansions, highlights progress in overcoming logistical and community trust challenges
                        as the focus shifts to scaling operations, building infrastructure, and collaborating with
                        local authorities for broader U.S. expansion. 
                   •    Both Waymo and Baidu consider autonomous cars are valuable to safety and consistency
                        for pedestrians and cyclists, while also reducing traffic issues like congestion, leading to
                        smoother and more efficient urban mobility systems. 
                   •    Waymo's autonomous vehicles have the potential to transform accessibility for individuals
                        with disabilities or temporary mobility challenges, offering newfound independence,
                        privacy, and autonomy to communities traditionally excluded from driving. 
                   •    The evolution of autonomous driving highlights its shift from a robotics challenge to an
                        AI problem, requiring human-like intelligence and intuition to navigate complex, context-
                        driven "visual conversations" on the road, leveraging advanced AI tools like multimodal
                        models, world models, and reinforcement learning from human feedback. 
                   •    The rapid evolution of AI, including advancements in LLMs, multimodal models, and
                        world models, promises transformational impacts on autonomous driving, with constant





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