Driver Assistance Lane Selection Under Low Lane Recognition
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Solution Overview
Problem
Existing driver assistance systems may mistakenly cause a vehicle to decelerate and stop on a running lane with low recognition level due to unreliable lane recognition, increasing the risk of accidents.
Innovation Solution
A driver assistance control device determines a stopping lane based on the recognition levels of surrounding lanes to ensure safe deceleration and stopping on a lane with higher reliability, even if the current lane recognition is low.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle stops in the current running lane when driver assistance is activated, then the stopping operation is simple and quick, but the vehicle may stop on a lane with low recognition level leading to unsafe stopping positions
Solution Approach 1:
The system performs preliminary recognition and evaluation of multiple candidate stopping lanes before the driver assistance activation, pre-calculating recognition levels and safety metrics. When driver assistance is activated, the system immediately selects from pre-evaluated options, avoiding complex real-time calculations during the critical stopping moment.
Solution Approach 2:
The system dynamically adjusts the stopping lane selection based on real-time recognition levels of different lanes. Instead of a fixed stopping rule, the system continuously evaluates multiple candidate lanes and adapts the stopping decision to current road conditions, recognizing levels, and vehicle state.
2Reliability
If the vehicle selects a stopping lane based on recognition levels, then the stopping safety is improved, but the decision-making process becomes more complex and time-consuming
Solution Approach 1:
The system applies different evaluation criteria to different candidate lanes based on their specific characteristics. Each lane is assessed according to its local recognition level, geometric properties, and surrounding conditions, allowing optimized decision-making for each specific stopping option rather than applying a uniform complex evaluation to all lanes.
Solution Approach 2:
The system creates simplified representations or models of candidate stopping lanes, copying essential features and recognition levels into a decision framework. This allows rapid comparison and selection without processing all detailed sensor data for each lane, reducing computational time while maintaining accuracy.
Data Source
AI summary
A driver assistance control device for a vehicle is configured to perform driver assistance to make the vehicle stop if it is judged that a driver of the vehicle is in an abnormal state where continued driving of the vehicle would be difficult and, at the time of the driver assistance, determine a stopping lane for making the vehicle stop from among running lanes on the road based on recognition levels of the running lanes at the time of the driver assistance.