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Draft:Dynamic Map Platform

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Dynamic Map Platform Co., Ltd.
Native name
ダイナミックマッププラットフォーム株式会社
TypePublic company
TYO: 336A
IndustryAutonomous driving, Spatial data infrastructure, Embodied AI
FoundedJune 13, 2016 (2016-06-13)
HeadquartersShibuya, Tokyo, Japan,
Area served
Worldwide (26 countries)
Key people
Shuichi Yoshimura (CEO & President)
ProductsHigh-definition maps, High-precision 3D spatial data, Digital twin environments, Snow removal support systems
ServicesAutonomous driving data, Infrastructure mapping, Drone airspace management, Smart city solutions
Number of employees
Approximately 300 (consolidated, as of June 2026)
SubsidiariesDMP North America, Inc.
DMP Europe GmbH
Dynamic Map Platform Axyz Co., Ltd.
DMP Korea
Websitewww.dynamic-maps.co.jp/en/

Dynamic Map Platform Co., Ltd. (DMP) (ダイナミックマッププラットフォーム株式会社) is a Japanese spatial data infrastructure company headquartered in Shibuya, Tokyo. It develops high-definition (HD) map data and high-precision three-dimensional spatial datasets for autonomous driving, advanced driver-assistance systems (ADAS), infrastructure management, and smart city applications. The company was incorporated on June 13, 2016, and listed on the Tokyo Stock Exchange Growth Market (ticker: 336A) in March 2025.[1]

DMP was established as a public-private joint venture under Japan's Cabinet Office Strategic Innovation Program (SIP-adus), which designated a shared "dynamic map" as foundational technology for high-level automated driving. The founding consortium unified major Japanese automakers under a single HD map platform — an arrangement referred to internally as the "All-Japan System." The company employs approximately 300 staff on a consolidated basis and operates across 26 countries.[2]

Beyond automotive applications, DMP has extended its platform to infrastructure inspection, snow removal operations, drone airspace management, logistics facility automation, smart city development, and airport operations. The company's long-term vision, described as "Modeling the Earth," aims to continuously replicate the physical world in digital space as shared infrastructure for embodied AI and digital twin environments.[3]

History

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Founding (2016)

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DMP was incorporated on June 13, 2016, as a joint venture under Japan's Cabinet Office Strategic Innovation Program (SIP-adus). The program designated autonomous driving as a national strategic priority and defined the "dynamic map" as a four-layer architecture combining a high-precision 3D base map with semi-static, semi-dynamic, and real-time ITS data layers.[4]

The founding consortium included ten major Japanese automotive manufacturers alongside map data companies, with investment from the state-backed INCJ fund and Mitsubishi Electric. A Toyota fellow who served as SIP Program Director described DMP's establishment as the greatest achievement of SIP Phase 1.[5]

Expansion timeline

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  • 2019 (February): DMP agreed to acquire Detroit-based HD map startup Ushr, Inc. for up to $200 million. Ushr had produced the world's first commercial HD map for General Motors in 2017 and was subsequently rebranded as DMP North America, Inc.[6][7]
  • 2019 (September): Nissan launched the ProPILOT 2.0-equipped "Skyline" — the first Japanese production vehicle to use DMP's HD maps.[8]
  • 2021 (March): Honda launched the Level 3-capable "Legend" (Honda SENSING Elite), the world's first production vehicle certified for SAE Level 3 autonomous driving, using DMP map data.[9]
  • 2022 (January): DMP and the Japan Overseas Infrastructure Investment Corporation (JOIN) agreed to invest up to $100 million to expand HD map coverage across non-highway roads in North America.[10]
  • 2022 (March): DMP established DMP Europe GmbH with JOIN co-investment of up to €80.5 million.[11]
  • 2025 (March): DMP listed on the Tokyo Stock Exchange Growth Market (ticker: 336A), raising up to ¥7.4 billion (approximately USD 50 million).[12]
  • 2025 (October): DMP acquired Nihonkai Sokuryo Sekkei Co., Ltd. (Toyama Prefecture), beginning a roll-up strategy to consolidate regional surveying firms across Japan. A new subsidiary, Dynamic Map Platform Consultants Co., Ltd., was established to oversee these operations.[13]

Technology

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High-definition maps and 3D spatial data

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DMP's core product is HD map data — also described as "High-Precision 3D Map Data" — providing centimeter-level accuracy for vehicle localization systems. Unlike standard navigation maps, HD maps encode detailed road geometry, lane structures, markings, and signs at a precision sufficient for automated driving decisions. DMP maps achieve absolute accuracy within 10 cm and relative accuracy within 1 cm. Datasets use the open Lanelet2 format, ensuring compatibility with a broad range of autonomous driving systems.[14][15]

UN Regulation 79 compliance

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In June 2026, DMP announced the provision of HD map data supporting systems compliant with UN Regulation No. 79 (UN-R79), the international standard for automatically commanded steering functions (ACSF). Category C and higher functions — including lane change assistance — require precise identification of lane change authorization zones, which DMP's centimeter-level data is designed to provide.[16]

Operational design domain and safety certification

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HD maps provide a precise, independently verifiable spatial reference for defining the operational design domain (ODD) — the conditions under which an automated driving system is designed to operate. DMP's datasets support both map-based localization and the generation of training and validation data for machine learning models used in automated vehicles.[17]

Embodied AI and digital twin data ecosystem

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DMP positions its HD map data as foundational spatial infrastructure for embodied AI and cyber-physical systems (referred to in Japanese sources as "physical AI"). In a joint initiative with NVIDIA and MathWorks, DMP map data feeds into MathWorks RoadRunner for 3D scene generation and then into NVIDIA Cosmos Transfer to produce synthetic video training datasets for autonomous driving AI. DMP also offers "Raw Scene Pack" datasets — bundles of raw LiDAR, camera, and HD map data — enabling customers to build digital twin environments for AI training, including via 3D Gaussian splatting.[18][19]

Spatial ID and drone airspace management

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DMP applies spatial ID technology — a standardized 3D coordinate system — to airspace management, enabling safe drone operations, urban air mobility (UAM) routing, and coordination between aerial and ground-based autonomous systems.[20]

3D data services

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DMP operates a 3D Data Business serving non-automotive industries. The Viewer service (3D maps pocket®) allows web-based measurement of high-precision 3D point cloud data, with uses including insurance accident-scene investigation and bridge inspection. The Guidance service deploys 3D data on tablets to support field operations such as snow removal and airport vehicle guidance.[21]

Satellite data integration

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DMP integrates satellite data with ground-based measurements to maintain spatial data accuracy. Absolute positioning relies on high-precision GNSS/RTK, including Japan's Quasi-Zenith Satellite System (QZSS) "Michibiki." To counter map data decay, the company incorporates wide-area optical and synthetic-aperture radar (SAR) satellite imagery to update its datasets dynamically.

In February 2024, a DMP-led consortium with Synspective — a small SAR satellite developer — was selected for Japan's Small Business Innovation Research (SBIR) program. The project focuses on fusing SAR imagery with DMP's HD maps to detect ground-level changes and automate road infrastructure management.[22] In September 2025, DMP partnered with Space42, an Abu Dhabi-based AI and space technology company, to advance HD map international standardization and deploy autonomous driving solutions across the Middle East, Central Asia, and Africa using satellite assets.[23]

Global operations

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Region Subsidiary / Entity Coverage status
Japan Dynamic Map Platform Co., Ltd. (HQ) Nationwide HD map coverage; home market for the founding automaker consortium
North America DMP North America, Inc. (Michigan) ~950,000 miles of U.S. road networks (August 2025);[24] coast-to-coast Canadian highway coverage completed February 2026[25]
Europe DMP Europe GmbH 16 countries as of September 2024[26]
Middle East Partnership with Space42 (Abu Dhabi) UAE ADAS mapping; GM Super Cruise support; planned expansion to Central Asia and Africa[27]
South Korea DMP Korea Operations established[28]
Southeast Asia Joint venture with Oriental Consultants Global Smart airport project in Vietnam under Japan's MLIT Smart JAMP program (FY2025)[29]

Partnerships and customers

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General Motors / Cadillac Super Cruise

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General Motors incorporated DMP's HD map data to support the expansion of its Super Cruise hands-free highway driving system. Super Cruise uses HD map data to define the roads on which the system may operate, making DMP's coverage a direct determinant of the system's geographic availability.[30]

Subaru EyeSight

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In January 2026, Subaru Corporation selected DMP's HD map data for the next generation of its EyeSight ADAS system, extending DMP's customer base into globally deployed production systems.[31]

NVIDIA and MathWorks

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DMP joined the NVIDIA Omniverse Partner Council Japan and collaborates with NVIDIA and MathWorks on a synthetic data generation pipeline for embodied AI. The workflow uses DMP HD maps as the spatial foundation for 3D scene generation in MathWorks RoadRunner, which feeds NVIDIA Cosmos Transfer to produce photorealistic training datasets for autonomous driving AI at scale. See also Embodied AI and digital twin data ecosystem.[32][33]

Woven by Toyota

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DMP provides spatial data to Woven by Toyota, the Toyota subsidiary focused on automated driving, robotics, and the Woven City smart city project in Susono, Japan.[34]

PTV Group

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DMP licensed its high-precision 3D data to PTV Group, a German software company, for distribution through PTV's "Go2Model for PTV Vissim" traffic simulation platform from August 2025.[35]

Applications beyond automotive

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Snow removal automation

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Through its subsidiary Dynamic Map Platform Axyz Co., Ltd., DMP developed the Snow Removal Support System (SRSS). It combines HD map data with high-precision RTK positioning via Japan's Quasi-Zenith Satellite System (Michibiki/CLAS) to display road features — including lane markings, manholes, and structures — beneath snow-covered roads on operator tablets. By FY2025, SRSS shipment volume had grown approximately ninefold compared to FY2023, with 15 operational sites across Hokkaido and the Tohoku region.[36]

Airport operations

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DMP developed the Various Information Port System (VIPS), which aggregates vehicle and equipment locations, hazardous zone data, and camera feeds within airport restricted areas. Under Japan's Cabinet Office BRIDGE program, DMP completed HD maps for airport restricted areas and conducted autonomous vehicle testing at Chubu Centrair International Airport in March 2025 in collaboration with Tier IV. Japan's Ministry of Land, Infrastructure, Transport and Tourism has targeted Level 4-equivalent autonomous towing tractor deployment at Haneda and Narita airports from fiscal year 2025.[37]

Logistics facility mapping

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In May 2026, DMP completed HD map coverage of the Tokyo Distribution Center (TRC), including indoor areas such as ramps and loading bays where GPS signals are limited. The dataset uses the Lanelet2 format and was made available as shared infrastructure to the Heiwajima Autonomous Driving Council, a consortium of approximately 40 organizations. Partners utilizing the dataset include Tier IV, Applied Intuition, and Macnica.[38]

Infrastructure inspection and disaster prevention

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DMP's HD map and spatial sensing capabilities support road surface condition monitoring and asset management for highway operators. Its spatial datasets are also used in disaster prevention, providing terrain and infrastructure reference data for risk assessment and emergency response planning.[39]

References

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  1. ^ "Dynamic Map Platform". IPOX. 2025-03-27. Retrieved 2026-06-13.
  2. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  3. ^ "Vision". Dynamic Map Platform Co., Ltd. Retrieved 2026-06-13.
  4. ^ "Dynamic Map". SIP-adus (Cabinet Office, Government of Japan). Retrieved 2026-06-13.
  5. ^ "Nine Years of SIP Autonomous Driving Initiatives: Achievements and Reflections of an Industry-Academia-Government Collaboration Project" (PDF) (in Japanese). Japan Institute of Country-ology and Engineering (JICE). 2023-05-23. Retrieved 2026-06-13.
  6. ^ "Japanese self-drive cars map developer to buy rival U.S. startup for $200 million". Reuters / Yahoo Finance. 2019-02-13. Retrieved 2026-06-13.
  7. ^ "Dynamic Map Platform to Acquire EnerTech Portfolio Company Ushr". Business Wire. 2019-02-13. Retrieved 2026-06-13.
  8. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  9. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  10. ^ "JOIN, DMP to Invest Up To $100 Million in Ushr Inc. to Increase HD Road Map Coverage in North America". Business Wire. 2022-01-14. Retrieved 2026-06-13.
  11. ^ "JOIN and DMP to Invest up to €80.5 Million to Create High-Definition Map in Europe". Business Wire. 2022-03-21. Retrieved 2026-06-13.
  12. ^ "Dynamic Map Platform Co., Ltd. IPO Detail". Tokyo IPO. Retrieved 2026-06-13.
  13. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  14. ^ "Data for Autonomous Driving". Dynamic Map Platform Co., Ltd. Retrieved 2026-06-13.
  15. ^ "Tokyo Distribution Center and Dynamic Map Platform Complete HD Map Data" (in Japanese). Dynamic Map Platform Co., Ltd. 2026-05-18. Retrieved 2026-06-13.
  16. ^ "Dynamic Map Platform provides high-precision 3D map data supporting autonomous driving and ADAS development compliant with international standards" (in Japanese). ASCII STARTUP. 2026-06-12. Retrieved 2026-06-13.
  17. ^ "Building high-precision, location-based infrastructure as the foundation for a digital society". The Worldfolio. Retrieved 2026-06-13.
  18. ^ "Physical AI Training and Validation Enabled by HD Maps and Simulation". MathWorks. 2026-07-15. Retrieved 2026-06-13.
  19. ^ "Dynamic Map Platform Joins the NVIDIA Omniverse Partner Council Japan". Dynamic Map Platform. Retrieved 2026-06-13.
  20. ^ "Location Information Services". Dynamic Map Platform Co., Ltd. Retrieved 2026-06-13.
  21. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  22. ^ "「HDマップを活用した小型SAR衛星データ位置情報の高精度化による道路管理の効率化」がSBIRに採択". Dynamic Map Platform Co., Ltd. 2024-02-29. Retrieved 2026-06-14.
  23. ^ "ダイナミックマッププラットフォームとSpace42、高精度地図の国際標準化と自動運転の推進に向けて協業". Dynamic Map Platform Co., Ltd. 2025-09-26. Retrieved 2026-06-14.
  24. ^ "Dynamic Map Platform Expands North American HD Map Coverage to 950,000 Miles". Business Wire. 2025-08-24. Retrieved 2026-06-13.
  25. ^ "Dynamic Map Platform Completes Coast-to-Coast Canadian HD Map Coverage". Business Wire. 2026-02-26. Retrieved 2026-06-13.
  26. ^ "Dynamic Map Platform Expands HD Map Coverage to 16 European Countries". Business Wire. 2024-09-23. Retrieved 2026-06-13.
  27. ^ "Space42 and Dynamic Map Platform provide map data for GM's Super Cruise ADAS in UAE". Autonomous Vehicle International. Retrieved 2026-06-13.
  28. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  29. ^ "Entrusted with "FY 2025 Smart JAMP" Project for the Ministry of Land, Infrastructure, Transport and Tourism". OC Global. 2025-09-25. Retrieved 2026-06-13.
  30. ^ "Super Cruise Expansion and Mapping Technology". General Motors. 2025-03-26. Retrieved 2026-06-13.
  31. ^ "Subaru Selects Dynamic Map Platform's HD Map Data for New Advanced EyeSight Driver-Assist Technology". Business Wire. 2026-01-12. Retrieved 2026-06-13.
  32. ^ "Physical AI Training and Validation Enabled by HD Maps and Simulation". MathWorks. 2026-07-15. Retrieved 2026-06-13.
  33. ^ "Dynamic Map Platform Joins the NVIDIA Omniverse Partner Council Japan". Dynamic Map Platform. Retrieved 2026-06-13.
  34. ^ "Dynamic Map Platform Company Research Report" (PDF). FISCO Ltd. 2025-12-30. Retrieved 2026-06-13.
  35. ^ "PTV Group and Dynamic Map Platform announce strategic partnership". ERTICO Network. Retrieved 2026-06-13.
  36. ^ "Dynamic Map Platform's Snow Removal Support System Sees Expanding Adoption" (PDF). Dynamic Map Platform Co., Ltd. 2026-05-21. Retrieved 2026-06-13.
  37. ^ "Development of Dynamic Maps for Public Areas: FY2025 Research and Development Plan" (PDF) (in Japanese). Cabinet Office, Government of Japan / Ministry of Economy, Trade and Industry. 2025-04-01. Retrieved 2026-06-13.
  38. ^ "Tokyo Distribution Center and Dynamic Map Platform Complete HD Map Data for One of Tokyo's Largest Logistics Facilities" (in Japanese). Dynamic Map Platform Co., Ltd. 2026-05-18. Retrieved 2026-06-13.
  39. ^ "Dynamic Map Platform's Snow Removal Support System Sees Expanding Adoption" (PDF). Dynamic Map Platform Co., Ltd. 2026-05-21. Retrieved 2026-06-13.
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