NTT: Kudan Inc. Successfully Conducts Field Trial in Collaboration with NTT Infrastructure Network Corporation

Kudan Inc. has successfully conducted a field trial in collaboration with NTT Infrastructure Network Corporation, demonstrating a simple and highly efficient method for creating high-precision 3D maps in urban canyon environments - densely built-up areas where GPS/GNSS (hereinafter collectively referred to as "GNSS") signals are unavailable. This was achieved by combining Kudan's proprietary SLAM technology with NTT InfraNet's information assets. This technological breakthrough demonstrates the potential to easily generate high-pre precision 3D maps even in urban areas where GNSS signals cannot reach, contributing to the advancement of smart cities and the improved efficiency of urban infrastructure management. Overview of the Initiative. High-precision point cloud maps are essential for the realization of smart cities, enabling the safe and accurate operation of autonomous mobile robots and self-driving vehicles. If map accuracy is insufficient, errors in vehicle localization and navigation can increase, significantly impacting safety and operational efficiency. Ideally, GNSS data would be used as correction data to create high-precision point cloud maps. However, in urban environments, the "multipath problem" occurs, where signal reflections from high-rise buildings cause inaccuracies in GNSS positioning. This makes it difficult to use high-precision GNSS data as correction data for map creation. As a result, the implementation of measurement systems equipped with expensive sensors and the integration of advanced technologies for complex data acquisition and processing have posed significant technical and cost barriers. To address these challenges, there is a growing demand for methods that enable the efficient generation of high-precision 3D point cloud maps in urban areas by utilizing simpler and more cost-effective sensor configurations and positioning data, while minimizing complex setup and data processing. Through such initiatives, the advancement of digital infrastructure is expected to accelerate, contributing to the widespread adoption of smart cities while reducing associated costs. Kudan and NTT InfraNet have been working together to establish high-precision 3D mapping technology. As part of this initiative, Kudan conducted a proof-of-concept experiment to generate high-precision 3D map in the densely built-up Konan area of Shinagawa, Tokyo. In this experiment, Kudan utilized its proprietary artificial perception technology, Kudan 3D-Lidar SLAM (KdLidar), and applied map correction techniques leveraging high-precision 3D spatial information (manhole location data) provided by NTT InfraNet. The results demonstrated the ability to efficiently generate 3D point cloud maps with a horizontal positional standard deviation within 12 cm and an elevation point standard deviation within 25 cm without relying on GNSS, even in urban canyon environments. Advantages of the Demonstrated Mapping Technology and Method. This proof-of-concept experiment confirmed the following advantages by leveraging the technologies and information assets of both companies. Efficient method for enhancing the accuracy of high-precision 3 D spatial data using manhole position information: Application of Kudan's proprietary data fusion technology to the high-precision 3Datial information (manhole location data), provided by NTT Infra Net successfully demonstrated that it could improve map accuracy to a horizontal positional standard deviation within12 cm and a vertical positional standard deviation within 25 cm. Furthermore, the introduction of a Graphical User Interface (GUI) into Kudan's data fusion process enabled intuitive operation, streamlined the information integration workflow, and improved operational efficiency. Social Significance of This Initiative. This technological innovation enables the efficient creation of high-precision 3d point cloud maps even in urban areas whereGNSS signals are unavailable, with the following expected societal contributions: Promotion of smart cities. Accelerating urban DX (Digital Transformation) as a foundation for supporting autonomous driving and robotics technologies. Enabling traffic optimization, efficient urban management, and the advancement of public infrastructure. Enhancing urban infrastructure management efficiency. Easier acquisition of 3D data for infrastructure such as roads and bridges, improving the accuracy and speed of maintenance operations. Utilization in national-level digital infrastructure development, such as the "Digital Lifeline Nationwide Comprehensive Development Plan" Strengthening disaster prevention and mitigation measures. Potential applications include disaster prevention and mitigation measures. Kudan Inc. has successfully conducted a field trial in collaboration with NTT Infrastructure Network Corporation, demonstrating a simple and highly efficient method for creating high-precision 3D maps in urban canyon environments - densely built-up areas where GPS/GNSS (hereinafter collectively referred to as "GNSS") signals are unavailable. This was achieved by combining Kudan's proprietary SLAM technology with NTT InfraNet's information assets. This technological breakthrough demonstrates the potential to easily generate high-pre precision 3D maps even in urban areas where GNSS signals cannot reach, contributing to the advancement of smart cities and the improved efficiency of urban infrastructure management. Overview of the Initiative. High-precision point cloud maps are essential for the realization of smart cities, enabling the safe and accurate operation of autonomous mobile robots and self-driving vehicles. If map accuracy is insufficient, errors in vehicle localization and navigation can increase, significantly impacting safety and operational efficiency. Ideally, GNSS data would be used as correction data to create high-precision point cloud maps. However, in urban environments, the "multipath problem" occurs, where signal reflections from high-rise buildings cause inaccuracies in GNSS positioning. This makes it difficult to use high-precision GNSS data as correction data for map creation. As a result, the implementation of measurement systems equipped with expensive sensors and the integration of advanced technologies for complex data acquisition and processing have posed significant technical and cost barriers. To address these challenges, there is a growing demand for methods that enable the efficient generation of high-precision 3D point cloud maps in urban areas by utilizing simpler and more cost-effective sensor configurations and positioning data, while minimizing complex setup and data processing. Through such initiatives, the advancement of digital infrastructure is expected to accelerate, contributing to the widespread adoption of smart cities while reducing associated costs. Kudan and NTT InfraNet have been working together to establish high-precision 3D mapping technology. As part of this initiative, Kudan conducted a proof-of-concept experiment to generate high-precision 3D map in the densely built-up Konan area of Shinagawa, Tokyo. In this experiment, Kudan utilized its proprietary artificial perception technology, Kudan 3D-Lidar SLAM (KdLidar), and applied map correction techniques leveraging high-precision 3D spatial information (manhole location data) provided by NTT InfraNet. The results demonstrated the ability to efficiently generate 3D point cloud maps with a horizontal positional standard deviation within 12 cm and an elevation point standard deviation within 25 cm without relying on GNSS, even in urban canyon environments. Advantages of the Demonstrated Mapping Technology and Method. This proof-of-concept experiment confirmed the following advantages by leveraging the technologies and information assets of both companies. Efficient method for enhancing the accuracy of high-precision 3 D spatial data using manhole position information: Application of Kudan's proprietary data fusion technology to the high-precision 3Datial information (manhole location data), provided by NTT Infra Net successfully demonstrated that it could improve map accuracy to a horizontal positional standard deviation within12 cm and a vertical positional standard deviation within 25 cm. Furthermore, the introduction of a Graphical User Interface (GUI) into Kudan's data fusion process enabled intuitive operation, streamlined the information integration workflow, and improved operational efficiency. Social Significance of This Initiative. This technological innovation enables the efficient creation of high-precision 3d point cloud maps even in urban areas whereGNSS signals are unavailable, with the following expected societal contributions: Promotion of smart cities. Accelerating urban DX (Digital Transformation) as a foundation for supporting autonomous driving and robotics technologies. Enabling traffic optimization, efficient urban management, and the advancement of public infrastructure. Enhancing urban infrastructure management efficiency. Easier acquisition of 3D data for infrastructure such as roads and bridges, improving the accuracy and speed of maintenance operations. Utilization in national-level digital infrastructure development, such as the "Digital Lifeline Nationwide Comprehensive Development Plan" Strengthening disaster prevention and mitigation measures. Potential applications include disaster prevention and mitigation measures.