Rearward Traffic Sign Recognition for Wrong-Way Driving Detection
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Solution Overview
Problem
Existing wrong-way driving detection systems fail to reliably and timely detect vehicles traveling in the wrong direction, posing a safety risk.
Innovation Solution
A method and device that utilize both forward and rearward vehicle imagery to recognize traffic signs and lane information, calculating a wrong-way driving likelihood based on recognition information, with higher weighting for rearward signs and specific conditions, to enhance detection accuracy and timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only forward vehicle imagery is used for wrong-way driving detection, then the device complexity is reduced, but the detection reliability and timeliness deteriorate
Solution Approach 1:
The detection system is segmented into multiple independent image acquisition units: a forward image acquisition unit capturing images in front of the vehicle and a rearward image acquisition unit capturing images behind the vehicle. Each unit independently processes its respective images, allowing the system to detect wrong-way driving from multiple perspectives simultaneously, thereby improving detection reliability without requiring a single complex detection mechanism
Solution Approach 2:
The system transitions from single-direction (forward-only) detection to multi-directional detection by incorporating rearward imagery. This dimensional expansion allows the system to detect traffic signs and lane information from both forward and backward perspectives, enabling more comprehensive wrong-way driving detection and significantly improving detection timeliness and reliability
2Device complexity
If only forward vehicle imagery is used for wrong-way driving detection, then the image processing complexity is reduced, but the detection timeliness deteriorates
Solution Approach 1:
The system performs preliminary action by capturing rearward images continuously and processing them to detect traffic signs and lane information before the vehicle actually enters wrong-way driving. By analyzing rearward imagery in advance, the system can identify potential wrong-way conditions earlier, improving detection timeliness without requiring complex real-time processing of multiple high-resolution images simultaneously
3Measurement precision
If recognition information of guide display surface is given higher weighting, then the detection accuracy is improved, but the risk of false positives increases
Solution Approach 1:
The system implements feedback by cross-validating recognition information from both forward and rearward images. When the guide display surface recognition from rearward imagery suggests wrong-way driving, the system verifies this against forward image data and lane recognition results. This feedback mechanism allows the system to confidently weight rearward guide display recognition highly while using forward image feedback to filter out false positives, thereby maintaining both accuracy and reliability
Data Source
AI summary
The wrong-way driving determination method includes acquiring a backward image of the vehicle, recognizing a target included in the backward image, and determining the wrong-way driving of the vehicle based on the recognition information of the target. Here, determining the wrong-way driving includes determining whether or not the recognition information of the target includes the recognition information of the guide display surface of the traffic sign. When it is determined that the recognition information of the guide display surface is included in the recognition information of the target, it is determined that the vehicle is traveling in the wrong direction.