Wrong-Way Driving Detection via Route Curve Deviation
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Solution Overview
Problem
Current methods for detecting wrong-way driving on directional lanes are unreliable, often failing to provide timely warnings due to late information from navigation devices, leading to accidents at high speeds, especially at junctions where most wrong-way driving incidents occur.
Innovation Solution
A method and device that detect and check the plausibility of wrong-way driving by using sensors, such as image and navigation systems, to determine deviations from a permissible route, predicting road curves and steering intentions, thereby increasing reliability and safety by identifying unintentional wrong-way driving before it occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation devices are used to detect wrong-way driving, then detection capability is provided, but the information is provided too late for most cases of wrong-way driving
Solution Approach 1:
The system performs preliminary detection of wrong-way driving intent before the vehicle actually enters the opposing lane. By monitoring curve information, steering angle, and vehicle status in advance, the system can warn the driver before the wrong-way driving action is completed, thus resolving the timing issue while maintaining detection reliability
2Reliability
If multiple sensors are used to detect curve information and predict routes, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The system merges data from multiple sensors (image sensors, inertial sensors, steering angle sensors, GPS) into a unified detection framework. By combining these sensor inputs to jointly determine curve information and predict vehicle status, the system achieves high detection reliability while managing complexity through integrated processing rather than separate independent systems
3Measurement precision
If curve information and route prediction are used to detect wrong-way driving, then detection accuracy is improved, but computational requirements and processing time increase
Solution Approach 1:
The system pre-calculates expected curve information from navigation data and predicted routes before wrong-way driving occurs. By having the permissible route curve information ready in advance and comparing it with actual sensor data in real-time, the system achieves high detection accuracy without excessive processing delays during critical detection moments
Data Source
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AI summary
A method for confirming the plausibility that a driver of a motor vehicle (11) is driving the wrong way along a carriageway when feeding into a multi-lane carriageway (2) is described, wherein at least one cornering information item of a current travel path (9) of the motor vehicle (11) is detected and at least one cornering information item of a permissible travel path is acquired, a deviation between the detected cornering information and the acquired cornering information is determined and the plausibility that the driver is driving the wrong way along the carriageway is confirmed if a deviation is present or a limiting value for a deviation is infringed. In addition, a control and detection device for confirming the plausibility that a driver of a motor vehicle (11) is driving the wrong way along a carriageway when feeding into a multi-lane carriageway (2) is proposed, comprising means for detecting at least one cornering information item of a current travel path (9) of the motor vehicle (11); means for detecting at least one cornering information item of a permissible travel path (10); means for determining a deviation between the detected cornering information and the acquired cornering information; and means for confirming the plausibility that a driver is driving the wrong way along the carriageway if a deviation is present or a limiting value for a deviation is infringed.