The accelerating global blue economy, driven by energy transition (offshore wind), deep-sea mining exploration, and enhanced maritime security, necessitates highly reliable underwater autonomous operations. As AUV/ROV deployments become more complex and mission-critical, the demand for verifiable positioning accuracy is paramount. This technology enables operators to meet stringent performance and safety standards, offering a competitive edge in a market where operational integrity and data quality are increasingly scrutinized.
Visualizes Positioning Reliability Instantly: Real-time evaluation of underwater vehicle positioning accuracy by comparing 3D position and depth data, enhancing operator decision-making.
Enhances Underwater Safety and Efficiency: Early detection of anomalies and environmental changes, reducing accident risk by up to 30% and improving mission certainty.
Optimizes Vehicle Trajectories from Operational Data: Accumulates and analyzes positioning accuracy evaluations to optimize mission planning and improve future autonomous navigation systems.
This patent protects a method, program, and system for acoustic positioning processing in underwater vehicles, specifically covering the real-time evaluation of positioning accuracy by comparing 3D position data with depth data. With 9 claims, it offers robust protection, demonstrating high stability and low invalidation risk, having successfully navigated examiner rejections with clear amendments and arguments.
This patent primarily covers the method of evaluating acoustic positioning reliability. White space exists in developing advanced sensor fusion algorithms incorporating non-acoustic data sources, or in creating fully autonomous decision-making systems that dynamically adapt mission parameters based on real-time reliability assessments.
Assuming an annual operational cost of ~$3.5M (AI est.) for underwater vehicles, a 20% improvement in mission certainty could reduce operational losses by ~$0.5M/year (AI est.). Furthermore, estimated savings from reduced accident risk (e.g., insurance, recovery) could be ~$0.5M/year (AI est.), leading to a total economic impact of ~$1.0M/year (AI est.).
X: Positioning Reliability & Safety Improvement
Y: Operational Efficiency & Cost Reduction