Road Facility Image Recognition for Early Abnormality Detection
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Solution Overview
Problem
Existing technologies face challenges in early detection of abnormalities in road facilities, such as faded or missing white lines, which affects the accuracy of automated driving and timely repair of road conditions.
Innovation Solution
A road abnormality detection apparatus and method that uses image recognition processing to identify road facilities and detect abnormalities by comparing captured road images with pre-existing correctness information, accumulating facility position information, and notifying road administrators for timely repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image recognition processing is performed on road images to detect road facility abnormalities, then early detection capability is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by collecting road images from multiple vehicles and storing them for later analysis. Correctness information about road facilities is prepared in advance and stored in a database, allowing for efficient comparison and detection when needed, rather than processing everything in real-time.
Solution Approach 2:
A server acts as an intermediary between vehicles and the abnormality detection system. The server receives road images from vehicles, performs image recognition processing, compares detected road facilities with correctness information, and manages the accumulation of facility position information. This distributes computational load and improves overall system efficiency.
2Measurement precision
If road images are collected from multiple vehicles to improve detection reliability, then measurement precision is improved, but data quantity and processing complexity increase
Solution Approach 1:
The system merges road images from multiple vehicles and combines facility position information from different sources. By accumulating detection results from multiple vehicles passing through the same road sections, the system improves detection reliability while managing complexity through centralized server coordination.
Solution Approach 2:
The server performs multiple functions: receiving road images from vehicles, performing image recognition, comparing with correctness information, accumulating facility position information, and determining abnormalities. This multi-functional approach consolidates complexity into a single coordinating system rather than requiring complex distributed processing.
3Reliability
If facility position information is accumulated in memory for analysis, then detection reliability is improved, but memory usage and data management complexity increase
Solution Approach 1:
The system extracts only the essential facility position information from road images and stores it in a structured format in the database. Rather than storing complete images and all processing data, only the critical detection results (facility positions and detected abnormalities) are accumulated, reducing data volume while maintaining detection reliability.
Data Source
AI summary
A road abnormality detection apparatus includes: a memory; and a processor having hardware, wherein the processor is configured to: receive, from a traveling vehicle, a road image indicating an image of a surface of a road or a periphery of the road and image capturing position information indicating a position where the road image is captured; recognize a road facility included in the road image and a position of the road facility based on the road image and the image capturing position information; determine whether or not abnormality exists in the road facility by comparing the road facility included in the road image and correctness information that is prepared in advance; and accumulate, in the memory, facility position information indicating the position of the road facility that the abnormality exists in when it is determined that the abnormality exists in the road facility.