Airport Runway Section Identification for Precise Abnormality Mapping
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Solution Overview
Problem
Existing road surface management systems in airports face challenges in accurately identifying the location of detected abnormalities due to limited GPS accuracy and the lack of clear positional references on wide, non-intersecting airport runways, making it difficult for staff to locate and repair issues efficiently.
Innovation Solution
A road surface management system that utilizes image capturing and sensor data to identify sections of the airport runway based on positional relationships with signs, allowing for precise detection and display of abnormalities, enabling accurate identification and output of detected issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used to identify abnormality positions, then positioning is possible, but positioning accuracy is insufficient
Solution Approach 1:
The patent introduces signs as intermediary reference objects between the GPS system and the abnormality positions. These signs serve as intermediate markers that provide known positional references, allowing the system to calculate more accurate positions by relating GPS data to the sign positions through geometric relationships, thereby resolving the insufficient positioning accuracy issue.
Solution Approach 2:
The patent transitions from using only GPS coordinates (two-dimensional positioning) to incorporating three-dimensional spatial relationships by adding vertical height information and utilizing the geometric relationships between signs at different positions. This dimensional enhancement allows for more precise location identification by considering multiple spatial parameters simultaneously.
2Measurement precision
If the traveling road is divided into sections, then abnormality identification is improved, but section boundary definition becomes complex
Solution Approach 1:
The patent applies segmentation by dividing the traveling road into multiple sections based on the positions of signs. Each section is defined by adjacent signs, creating manageable segments that can be individually processed for abnormality detection. This segmentation simplifies the overall complex road surface into discrete, identifiable units while maintaining precise location information.
Solution Approach 2:
The patent assigns local quality by creating sections with distinct boundaries defined by signs. Each section has unique identifying characteristics based on its boundary signs, allowing for localized abnormality detection and reporting. This approach enables precise identification of abnormalities within specific sections while keeping the management system organized and manageable.
Data Source
AI summary
A road surface management device according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: identify a section in which an image is captured, among a plurality of sections obtained by dividing a traveling road of an airport, based on positional relationships between the plurality of sections and signs, and signs in the image included in sensor information collected on the traveling road; detect an abnormality of the traveling road in the identified section based on the collected sensor information; and output the detected abnormality in association with the identified section.