Dynamic Map Platform and Keio University Joint Research Paper Accepted for IIAI AAI 2026: Proposing a Spatial Intelligence Infrastructure to Support Autonomous AI Decision-Making and Business Collaboration

Dynamic Map Platform Co., Ltd. announced that its joint research paper with the Shirasaka Laboratory at Keio University's Graduate School of System Design and Management (Keio SDM) was accepted on May 18, 2026, for the international conference 'IIAI AAI 2026.' The paper is scheduled to be presented on July 10, 2026, at the 'SBIT 2026' special session. This research proposes a reference architecture for spatial information infrastructure designed to integrally optimize collaboration across multiple businesses using autonomous AI agents. While spatial information technologies like 3D city models and digital twins have advanced, design guidelines for cross-functional operations involving multiple stakeholders have been lacking. The study systematizes spatial information infrastructure as a foundation that handles static data, real-time information, and business process data, supporting AI-driven decision-making. By presenting a multi-layered structure covering data integration, real-time updates, and governance, the research introduces a design guideline to evolve spatial infrastructure into a 'Spatial Intelligence Infrastructure.' This is expected to be applied in fields like urban management, logistics, and robotics where physical AI is advancing. Dynamic Map Platform has been promoting its high-precision 3D data as 'Data for AI,' and this architecture further expands the potential of spatial data. The research summarizes findings from a joint study announced in November 2025. The company remains committed to contributing to autonomous driving and smart cities through high-precision 3D map data.