Traffic Light Recognition Model for Time Delay Measurement
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Solution Overview
Problem
Current methods for determining time delays between real and simulated traffic signal lamps are labor-intensive and lack accuracy, requiring manual recording and comparison of states.
Innovation Solution
A signal lamp recognition method using a pre-trained model to analyze video frames from both real and simulated signal lamps, determining time delays based on state information without manual recording, improving accuracy and reducing labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual test method is used to record and compare traffic light states, then the time delay can be obtained, but the labor cost increases and the accuracy decreases
Solution Approach 1:
The system uses automatic recognition models to detect and record traffic light states without human intervention. The model processes video frames autonomously, extracting state information and determining time delays, thereby eliminating manual recording and comparison operations while improving measurement precision.
Solution Approach 2:
The patent replaces the manual mechanical recording system with an automated computer vision system. The recognition model processes video data and automatically determines time delays, substituting human operators with an intelligent algorithm that provides both higher accuracy and reduced labor.
2Measurement precision
If automatic recognition model is used to analyze video frames, then the accuracy of time delay determination is improved, but the device complexity increases
Solution Approach 1:
The recognition model is pre-trained offline with labeled traffic light data before deployment. This preliminary training phase separates the complex model development from the actual measurement process, allowing the system to achieve high accuracy without adding operational complexity during actual time delay determination.
Data Source
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AI summary
A signal lamp recognition method, an apparatus, a device, a storage medium, and a program product are provided, which are related to the field of intelligent transportation such as vehicle infrastructure cooperation, Internet of vehicles and the like. The method includes recognizing a plurality of video frames by using a signal lamp recognition model to obtain state information of a real signal lamp and state information of a simulated signal lamp; and determining a time delay between the real signal lamp and the simulated signal lamp according to the state information of the real signal lamp and the state information of the simulated signal lamp. Thus, the accuracy of the time delay between the real signal lamp and the simulated signal lamp can be improved.