Marker Recognition System for Automated Parking Maintenance
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Solution Overview
Problem
In large parking garages, identifying and maintaining navigation markers for Automated Valet Parking systems is time-consuming and labor-intensive due to the extensive number of markers required for accurate navigation.
Innovation Solution
An automatic parking system with a marker recognizing unit and a marker determiner that performs recognition and determination of issues with markers, outputting marker state information to easily identify markers needing maintenance, utilizing a combination of cameras, illumination level determination, and communication devices to assess marker visibility and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual identification and maintenance of navigation markers is performed in large parking garages, then maintenance can be conducted, but it is time-consuming and labor-intensive
Solution Approach 1:
The system enables self-service by having vehicles automatically detect and report marker recognition results, which are then automatically analyzed to identify markers needing maintenance. This eliminates the need for manual inspection while systematically identifying and prioritizing maintenance needs across all markers in the parking garage.
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated optical detection system using cameras and image processing. The system captures images of markers, automatically recognizes them, and determines their status without human intervention, substituting mechanical labor with automated technological systems.
2Reliability
If extensive marker recognition is performed to ensure accurate navigation, then navigation reliability is improved, but the complexity of marker maintenance increases
Solution Approach 1:
The system implements feedback by continuously monitoring marker recognition status and using this information to identify and prioritize maintenance needs. The feedback loop connects navigation operations with maintenance planning, allowing the system to adapt maintenance activities based on actual recognition performance and marker conditions.
Solution Approach 2:
The patent introduces an intermediary analysis system that processes recognition results and determines marker status. This intermediary layer separates the complex tasks of recognition, analysis, and maintenance decision-making, simplifying the overall system by breaking down complexity into manageable functional stages.
3Measurement precision
If manual inspection of all markers is conducted to identify maintenance needs, then accurate identification is achieved, but operational efficiency decreases
Solution Approach 1:
The system applies partial action by focusing inspection efforts only on markers that show recognition issues or are determined to need maintenance based on automated analysis. Instead of uniformly inspecting all markers, the system selectively targets problematic areas, reducing overall inspection workload while maintaining identification accuracy for markers that actually need attention.
Data Source
AI summary
In an automatic parking system, a marker recognizing unit performs recognition of a predetermined number of markers located respectively at predetermined locations in a parking garage. A marker deter miner performs determination of whether there is a problem in recognition of at least one marker in the predetermined number of markers in accordance with information resulting from the recognition performed by the marker detector. An output unit outputs marker state information resulting from the determination performed by the marker determiner.