Market Context — Why This Technology, Why Now

The global push towards fully autonomous systems, smart cities, and advanced industrial automation is generating unprecedented volumes of real-time sensor data. This surge is straining existing wireless communication infrastructures and driving demand for more efficient data transmission protocols. Regulatory bodies are also increasingly focused on spectrum efficiency and reliability for critical applications, making technologies that optimize bandwidth usage, like this one, strategically vital for future innovation and deployment across key industries.

Key Competitive Advantages
01

Reduces data transmission volume by up to 80% by modulating mobile object attitude information with different physical quantities per coordinate axis.

02

Significantly improves frequency utilization efficiency, enabling more effective use of limited wireless spectrum and reducing communication infrastructure load.

03

Offers high compatibility with existing systems, facilitating easy integration into current mobile sensor systems and communication modules.

Market Opportunity
🚗 Autonomous Driving & MaaS
$3.5B globally (AI est.)
High-precision, real-time transmission of vehicle attitude data is essential for enhancing autonomous driving safety and optimizing Mobility as a Service (MaaS) platforms.
Autonomous vehicle developers MaaS platform providers Automotive Tier 1 suppliers Smart city infrastructure companies
🏭 Industrial IoT & Smart Factories
$2B globally (AI est.)
Efficiently collects operational status and location information from mobile objects like AGVs, robots, and heavy machinery within factories, contributing to productivity improvements and predictive maintenance.
Industrial automation solution providers AGV and robotics manufacturers Heavy equipment OEMs Smart factory system integrators
🚁 Drones & UAVs
$1.5B globally (AI est.)
For drones requiring long-distance and extended flight, lightweight transmission of high-precision attitude data contributes to stable control and extended battery life.
Commercial drone manufacturers UAV service providers Aerospace and defense contractors Drone payload developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a broad scope of claims (15 claims) related to data compression and improved frequency utilization efficiency in mobile object sensor information transmission. The patent's robustness is evidenced by successfully overcoming examiner objections through appropriate amendments, establishing a strong and difficult-to-invalidate right that reduces future invalidation risks.

Competitive White Space

This patent focuses on efficient data modulation and transmission. White space exists in advanced data encryption for transmitted information, edge processing of sensor data prior to transmission, or novel network routing protocols for compressed data streams.

Economic Impact
~$250,000/year estimated communication cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming an 80% data transmission reduction, with a monthly communication cost of ~$330/vehicle (AI est.) for 50 vehicles, the annual communication cost reduction is ~$330/vehicle/month × 50 vehicles × 12 months × 0.8 = ~$160,000 (AI est.). Additionally, an estimated ~$75,000 (AI est.) in indirect cost savings from improved operational efficiency brings the total annual cost reduction to ~$250,000 (AI est.).

Speed to Market
6× faster than in-house development
This technology establishes an efficient transmission protocol for mobile object sensor information with clear technical principles. The core modulation and transmission algorithms are patented, eliminating the need for licensees to undertake research and development from scratch. This could shorten development time by approximately 2.5 years compared to in-house development, significantly accelerating time-to-market and enabling earlier realization of business benefits.
Competitive Positioning

X: Data Transmission Efficiency
Y: Real-time Performance & Reliability

Business Models & Applications
💻 Software Licensing
Offers the core algorithms of this technology as an SDK or API for integration into licensees' existing systems or products, generating licensing revenue.
⚙️ Embedded Module Sales
Develops and manufactures dedicated communication modules implementing this technology, providing them to mobile object manufacturers and IoT device vendors for hardware sales revenue.
📊 Data Analytics Platform Integration
Integrates with cloud-based data analytics platforms that utilize the efficiently collected data from this technology, offering it as a value-added service.
Adjacent Application Opportunities
🚗 Autonomous Driving & MaaS
Core Technology for Next-Gen MaaS Platforms
Efficiently transmitting real-time vehicle attitude data could significantly enhance the accuracy of MaaS platform services, including traffic prediction, operational optimization, and accident prevention. This is expected to improve urban transportation efficiency and user convenience.
🏗️ Construction & Heavy Equipment
High-Precision Control for Remote-Operated Heavy Machinery
Low-latency transmission of attitude information from construction heavy machinery and cranes could increase the precision and safety of remote operations. This may enable labor reduction in hazardous work environments and support skilled operators working remotely.
🚀 Drones & UAV
Stable Flight Support for Long-Range Drones
For inspection and surveillance drones covering wide areas, transmitting high-precision flight attitude data while conserving power could ensure stability during long-distance and extended flights. This contributes to more efficient infrastructure inspection and logistics delivery.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technology Evaluation & Requirements Definition
Duration: 3 months
Evaluate the applicability of this technology within the licensee's mobile object systems and define specific requirements and target performance.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a prototype based on defined requirements, designed for integration into existing systems, and validate its performance through demonstration experiments in limited environments.
Phase 3: Production System Deployment & Rollout
Duration: 9 months
Based on validation results, design the production system implementation and deploy it incrementally, optimizing and scaling up for full operation.
Technical Feasibility
This technology is based on a mechanism that modulates mobile object sensor output signals with specific physical quantities and transmits them as time-series data. This could likely be achieved through firmware updates to existing sensor modules or communication chipsets, or by adding relatively inexpensive signal processing units. It also has high compatibility with general-purpose communication interfaces, suggesting easy integration into existing mobile systems with software-centric deployment, without requiring significant capital investment.
Success Scenario
Implementing this technology could reduce current communication bandwidth consumption for sensor data transmission from autonomous vehicles by up to 20%. This may enable more vehicles to be managed in real-time using the same communication infrastructure, potentially improving vehicle operational efficiency by 1.5 times. As a result, it is estimated that both communication cost reduction and service quality improvement could be achieved, establishing a competitive advantage.
Patent Record
APPLICATION NO.
特願2020-000827
REGISTRATION NO.
7315924
FILING DATE
2020/01/07
GRANT DATE
2023/07/19
EXPIRATION DATE
2040/01/07
PATENT HOLDER
国立大学法人信州大学
Examination History
2022年06月23日
出願審査請求書
2023年03月27日
拒絶理由通知書
2023年05月11日
意見書
2023年05月11日
手続補正書（自発・内容）
2023年07月06日
特許査定