Driving Assistance Logic for Obstacle Passing Near Lane Markings
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Solution Overview
Problem
Existing driving assistance technologies may fail to provide appropriate guidance to drivers due to uncertainties in determining whether a vehicle can safely pass through a traveling section ahead, especially when obstacles are present.
Innovation Solution
A driving assistance system that utilizes a recognizer to analyze surrounding conditions, including distances and obstacles, and determines whether a vehicle can pass by evaluating distances to marking lines and potential obstacles, adjusting determinations based on obstacle type and recognition accuracy, and providing output to the driver through a human-machine interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the system determines passing ability based on simple distance thresholds, then the device complexity is reduced, but the measurement precision and reliability of passing determination deteriorates
Solution Approach 1:
The system applies different determination criteria based on the local situation: when the first distance is sufficient, simple threshold comparison is used; when the first distance is insufficient, the system transitions to evaluating the second distance and free space conditions. This localized adaptation of determination logic maintains simplicity where possible while ensuring accuracy where needed.
Solution Approach 2:
The determination logic dynamically switches between different evaluation modes based on real-time conditions. The system adjusts its determination criteria according to the measured distances and obstacle conditions, transitioning from simple threshold-based determination to more complex multi-condition evaluation when necessary, thereby optimizing both complexity and accuracy.
2Device complexity
If the system only uses the first distance for determination, then the device complexity is reduced, but the adaptability to different road conditions deteriorates
Solution Approach 1:
The determination process is segmented into multiple evaluation stages. The system first evaluates the primary condition (first distance), and only when this condition is not met does it proceed to evaluate secondary conditions (second distance and free space). This segmented approach allows the system to handle diverse road conditions while maintaining computational efficiency.
Solution Approach 2:
The system employs a universal determination framework that can handle multiple types of passing scenarios through a unified multi-condition evaluation process. The same system architecture and recognition components serve both simple and complex determination needs, making the system versatile across different road conditions without requiring separate specialized systems.
3Measurement precision
If the system requires high recognition accuracy for walls and boundaries, then the measurement precision improves, but the loss of information increases when recognition fails
Solution Approach 1:
The system performs preliminary recognition of boundaries and walls before making passing determination. By having the recognizer identify these features in advance and use them as basis for determination, the system ensures that high-precision recognition is performed when needed, while having fallback mechanisms ready in case recognition confidence is insufficient.
Solution Approach 2:
The system incorporates feedback from the recognition process into the determination logic. When the recognizer identifies walls or boundaries with sufficient confidence, the determination system uses this information directly. When confidence is low, the system adjusts its determination behavior accordingly, potentially requiring additional verification or adopting more conservative passing decisions, thus managing information loss through feedback-driven adaptation.
Data Source
AI summary
A driving assistance device that is one aspect of the embodiment includes a recognizer configured to recognize surrounding conditions of a host vehicle, a determiner configured to determine whether the host vehicle is able to pass through a traveling section ahead on the basis of a result of the recognition by the recognizer, and an output controller configured to cause an output to output information based on a result of the determination by the determiner, in which, when a first distance between a marking line for dividing a traveling path of the host vehicle, which is recognized by the recognizer, and an obstacle in front of the host vehicle is equal to or greater than a predetermined distance, the determiner determines that the host vehicle is able to pass next to the obstacle.