The global push for Industry 4.0 and smart infrastructure demands autonomous systems capable of navigating complex environments with unprecedented precision. As automation scales in agriculture, logistics, and construction, the reliability and efficiency of autonomous vehicle path following become critical differentiators. This technology meets the market's need for robust control systems that minimize errors and maximize operational uptime, essential for competitive advantage.
Rapidly resolves position and orientation deviations at path transitions. Reduces position and orientation deviations during target segment switching by approximately ~66% compared to conventional methods through 3D spatial coordinate monitoring.
Eliminates wasteful control, improving efficiency by ~20%. Optimally switches control targets relative to the next target segment, eliminating unnecessary control and enhancing driving efficiency.
Establishes exclusive market advantage with no prior art. Identified as a blue ocean technology with no similar prior art found by examiners, offering potential for market exclusivity until ~2041.
This patent protects an autonomous driving control device, method, and program, covering a broad scope across 10 claims. The examiner cited no prior art, indicating this is a highly novel and pioneering invention, establishing a strong "blue ocean" position. The robust claims and smooth examination process suggest a stable and difficult-to-invalidate right.
This patent primarily secures the core control algorithm for path transition. White space exists in developing novel sensor fusion techniques for enhanced environmental perception or integrating this control into specialized hardware platforms for extreme conditions.
For an enterprise operating 10 autonomous vehicles, this technology could reduce annual fuel consumption by ~5% and operational time by ~10% due to improved path following and elimination of wasteful control. Assuming an annual operational cost of ~$20,000/vehicle (AI est.), the savings per vehicle would be: (Fuel cost ~$6,500/vehicle × 5% reduction) + (Labor/operating cost ~$13,500/vehicle × 10% reduction) = ~$325 + ~$1,350 = ~$1,675/vehicle (AI est.). For 10 vehicles, this totals ~$16,750/year (AI est.). Including productivity gains and reduced opportunity costs, total annual savings could reach ~$200K (AI est.).
X: Path Following Precision
Y: Control System Development Difficulty