Presentation & audience questions <25 min>

「Changes in the Autonomous Driving and ADAS Domain — How SDVs and AI Are Transforming Vehicle Development」

• The automotive industry is undergoing a major transformation, and how it adapts to SDV advancements and AI will determine future competitiveness. This session outlines the challenges and necessary initiatives for SDVs and AI adoption, and examines, from a consulting perspective, how these changes impact the autonomous driving and ADAS domains.

Presentation & audience questions <25 min>

「Honda’s Vision and Initiatives for advanced ADAS, Autonomous Driving & SDVs」

• Honda has set an ambitious safety goal: to achieve zero fatalities in traffic accidents involving Honda cars and motorcycles by 2050. Realizing this goal requires a strong foundation in Software-Defined Vehicles (SDVs). SDVs serve as a next-generation mobility platform that expands freedom of movement and optimizes the driving experience for individuals, enabling advancements in ADAS and autonomous driving technologies through in-vehicle architectures centered on ASIMO OS and AI utilization. Additionally, Honda leverages digital twins for development environments and probe data for rapid verification, balancing safety assurance with development efficiency. Through these initiatives, Honda continues to pursue its mission of delivering the joy of freedom in mobility to people around the world.

Presentation & audience questions<25 min>

「Accelerating SDV Development through Vehicle Foundations and Ecosystem Building」

• How can the integration of processors, in-vehicle OS, and middleware simplify SDV development and allow greater focus on creating vehicle value? This session presents NXP’s approach centered on the software platform CoreRide, and outlines how industry players can collaborate to build an SDV ecosystem, along with future perspectives.

Presentation & audience questions <25 min>

「SDV Engineering Platforms for Advancing Autonomous Driving & ADAS」

• How can diverse data from both In-Car and Out-Car domains be effectively leveraged to advance AD/ADAS evolution and AI implementation? Ahead of the full-scale AI era, this session highlights current challenges in automotive data utilization and explores the potential of a new engineering platform that links In-Car and Out-Car domains to accelerate future development.

Fireside chat <35分>

「How AI, SDVs, and Digital Technologies Are Transforming Autonomous Driving and ADAS Development」

Presentation & audience questions <25 min>

「Advancing ADAS & Autonomous Driving with Cutting-Edge Simulation Technologies」

• How can the use of advanced simulation technologies efficiently expand scenarios and repeated testing, including challenging driving conditions? This session presents aiMotive’s comprehensive simulation solutions from Hungary, along with development trends among European automakers, outlining pathways to improve software development efficiency, shorten timelines, and reduce costs.

講演 ＆質疑<25 min>

「The Potential of Maps in ADAS」

• With advancements in autonomous driving technologies, trends such as end-to-end AI approaches are gaining attention. This session examines how the role and potential of maps in ADAS are evolving amidst these technological innovations, exploring the value maps provide and their future applications in ADAS.

Presentation & audience questions<25 min>

「“Co-Pilot” Vehicle Design — Driver Monitoring Technologies and Data Utilization」

• What safety technologies are essential in the SDV era? This session introduces Mazda’s monitoring technologies, driver data utilization, and the Driver Emergency Assistance (DEA) system. It presents the “human-vehicle co-existence” approach and explores how companies can collaborate to collect and share big data, which is critical for the social implementation of safety technologies.

Presentation & audience questions<25 min>

「AI and Data Engineering for Evolving ADAS & Autonomous Driving」

• How can the vast amounts of in-vehicle data be leveraged to accelerate autonomous driving technologies? Based on over a decade of experience in data engineering for AD/ADAS and holding the top domestic market share in annotation for five consecutive years, this session explores the evolution of AD/ADAS and the outlook for end-to-end autonomous driving over the next five years, proposing approaches to data engineering needed today.

Presentation <20 min>

「Commercial Operation of L4 Robotaxis and the Challenge of Co-Creation Future Businesses — The Mobility Future Unlocked by AI × SDV」

• In Suzhou, China, urban-scale digital twin infrastructures are enabling real-time V2X operations and high-precision traffic data collection. Nissan Mobility Service leverages this environment for the social implementation of L4 robotaxi commercial operations and engages in co-creative innovation with other industries. This session focuses on the potential of AI, SDVs, and AI-driven SDVs (AI-DVs). By transforming vehicles into “learning and evolving platforms,” OEMs can create added value beyond mobility and develop new revenue models in collaboration with other industries. The session explores pathways to achieve this vision.

Presentations & panel discussion <65 min>

「Insights from China’s Latest Autonomous Driving Trends and Their Future Impact on the Global Automotive Industry」

Presentation & audience questions <25 min>

「Suzuki’s “Just Right” SDV Light」

• At Suzuki, SDV is approached not as a what but as a how. The company defines SDV Light as a means to deliver “just right” high-performance electrical components for its customers and applies this concept in actual product development. This session introduces the SDV Light approach and showcases application examples, including ADAS.