Market Context — Why This Technology, Why Now

Global industries are rapidly adopting advanced automation and digital transformation, driving demand for precise real-time data. Regulatory pressures for enhanced safety in transportation and construction, alongside the competitive need for operational efficiency, are pushing companies to seek cost-effective solutions for high-accuracy positioning. This technology aligns perfectly with these trends, offering a scalable path to upgrade existing infrastructure for next-gen capabilities.

Key Competitive Advantages
01

Achieves centimeter-level positioning accuracy through post-processing kinematic (PPK) analysis, significantly improving fleet management quality compared to standard GPS with meter-level errors.

02

Enables high-precision positioning by utilizing RAW data from widely deployed drive recorders, eliminating the need for expensive, specialized equipment.

03

Eliminates the need for costly RTK receivers or complex real-time communication infrastructure, based on post-processing kinematic (PPK) analysis, enabling rapid market deployment.

Market Opportunity
Logistics and Fleet Management
$2B domestically (AI est.)
Amidst driver shortages and rising fuel costs, precise vehicle location data enables optimal route planning, real-time operational visibility, and enhanced safety driving support, directly leading to operational efficiency and cost reduction.
Large-scale logistics providers Commercial fleet operators Last-mile delivery services
Construction and Surveying
$1B domestically (AI est.)
Centimeter-level positioning is crucial for automated heavy equipment control and high-precision surveying in construction. This technology could drive automation and labor reduction, contributing to increased productivity and safety.
Heavy equipment manufacturers Construction technology providers Surveying equipment developers
MaaS and Autonomous Driving
~$13.5B globally (AI est.)
Advancing autonomous driving levels requires highly accurate vehicle absolute positioning. This technology could be integrated into autonomous driving support systems cost-effectively by leveraging existing in-vehicle devices.
Autonomous vehicle developers Mobility-as-a-Service (MaaS) platforms Automotive Tier 1 suppliers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a system and program for high-precision vehicle location determination, specifically by acquiring RAW carrier phase information from a GPS module in a drive recorder and performing post-processing kinematic (PPK) analysis with electronic reference station data. The claims were granted after successfully overcoming nine prior art rejections, indicating strong validity and a well-defined scope against existing technologies.

Competitive White Space

This patent primarily covers post-processing kinematic (PPK) analysis. White space exists in developing real-time kinematic (RTK) solutions or integrating this PPK data with advanced sensor fusion for enhanced real-time autonomous navigation beyond simple positioning.

Economic Impact
~$1M/year estimated operational management cost reduction per facility (est.).
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a logistics company, assuming an average annual operational management cost of ~$35K/vehicle (AI est.) (including fuel, personnel, insurance, and accident response), this technology could achieve a ~5% annual cost reduction through route optimization, safe driving support, accident reduction, and improved operational efficiency. Applying this to 300 vehicles, the estimated cost reduction is ~$35K/vehicle × 300 vehicles × 0.05 = ~$0.5M/year (AI est.). Including further reductions from accident prevention and productivity gains, the total economic impact could reach ~$1M/year (AI est.).

Speed to Market
4× faster than in-house development
This technology features a clear architecture for acquiring RAW data from existing drive recorders and performing post-processing kinematic (PPK) analysis using electronic reference station data. Key algorithms are established, and the system and program concepts described in the patent claims are near practical application. This could significantly shorten development timelines compared to building similar technology from scratch. Integration primarily involves software into existing in-vehicle systems and cloud platforms, enabling rapid market entry.
Competitive Positioning

X: Positioning Accuracy (Centimeter-Level)
Y: Ease of Implementation (Leveraging Existing Assets)

Business Models & Applications
💻 Software Licensing
A licensing model offering the core high-precision positioning algorithm as a software module for integration into a licensee's existing systems or products.
📊 High-Precision Location Data Service
A data service model providing processed high-precision location information via API, combining RAW data collected by drive recorders with electronic reference station data.
🚚 Fleet Management Solution
A model offering a fleet management system, incorporating this technology, as a SaaS solution to logistics companies and fleet operators, supporting efficiency and safety improvements.
Adjacent Application Opportunities
🚜 Precision Agriculture
Automated Farm Machinery & Field Management
Integrating this technology into autonomous agricultural machinery could automate tasks like seeding, fertilizing, and harvesting with centimeter-level precision. This is expected to significantly boost operational efficiency and optimize resource utilization, potentially reducing material costs by 10-15%. It could also be used for creating detailed crop growth maps.
🚁 Drone Surveying & Inspection
High-Precision Drone Navigation & Data Acquisition
Applying this technology to drones could enable stable, high-precision autonomous flight even in environments with unstable GPS signals. This is expected to facilitate more accurate and safer data acquisition for infrastructure inspection, disaster site surveys, and mapping, potentially reducing manual inspection times by 30% and improving safety for personnel.
🤸 Sports & Entertainment
Athlete Tracking & Immersive VR/AR Experiences
Precisely tracking athlete movements to centimeter accuracy could enhance performance and tactical analysis in sports, offering a 5-10% improvement in data granularity. Furthermore, it could enable highly immersive experiential entertainment by accurately linking VR/AR content with real-world location information.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technology Evaluation & Requirements Definition
Duration: 3 months
Evaluate the core principles of this technology and its compatibility with the licensee's existing systems. Define specific use cases and requirements for high-precision positioning data, then develop a Proof of Concept (PoC) plan.
Phase 2: System Development & Prototype Construction
Duration: 9 months
Develop the RAW data acquisition interface from drive recorders, integrate the post-processing kinematic (PPK) analysis algorithm, and build a prototype of the position determination device. Conduct functional tests in a small-scale demonstration environment.
Phase 3: Field Trials & Production Deployment
Duration: 6 months
Conduct large-scale field trials in actual vehicle and operational environments to verify accuracy, stability, and operational costs. Optimize the system based on results, then transition to full-scale market deployment and production operation.
Technical Feasibility
This technology is based on a system configuration that outputs RAW data from existing GPS-equipped drive recorders for post-processing. The patented structure can be implemented with generic GPS receivers, data recording functions, and a position determination device for computation. It exhibits high compatibility with existing in-vehicle infrastructure and cloud environments. Technical feasibility is very high, as it primarily involves software integration and algorithm implementation, without requiring extensive deployment of new, expensive hardware.
Success Scenario
Upon implementation, a licensee's vehicle fleet management system could accurately track each vehicle's position to centimeter-level precision. This could enhance route optimization accuracy, potentially reducing annual fuel costs by up to 15%. Furthermore, detailed driving history data could enable driving performance evaluations, potentially decreasing accident rates by 20%, contributing to optimized insurance premiums and improved corporate social responsibility.
Patent Record
APPLICATION NO.
特願2020-139583
REGISTRATION NO.
7570090
FILING DATE
2020/08/20
GRANT DATE
2024/10/10
EXPIRATION DATE
2040/08/20
PATENT HOLDER
株式会社ユピテル
Examination History
2023年06月27日
出願審査請求書
2024年03月07日
拒絶理由通知書
2024年05月06日
意見書
2024年05月06日
手続補正書（自発・内容）
2024年09月05日
特許査定