Dynamic Travel Route Envelope for Driver Assistance Object Plausibility
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Solution Overview
Problem
Existing driver assistance systems face challenges in determining the plausibility of objects, particularly in distinguishing between relevant and irrelevant objects due to the difficulty in optimizing the width and position of the travel route envelope, leading to potential adjacent-lane disturbances and impaired approach behavior.
Innovation Solution
The method involves statistical analysis of lateral offsets of stationary and moving objects to calculate probability values indicating the host vehicle's lane position, allowing for dynamic adjustment of the travel route envelope width and position based on these probabilities, thereby optimizing object detection and avoiding adjacent-lane disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the travel route envelope width is increased to detect target objects early, then detection time is improved, but false detection of adjacent-lane objects increases
Solution Approach 1:
The patent applies dynamics by making the travel route envelope width variable rather than fixed. The width is dynamically adjusted based on the host vehicle's lateral position within the lane. When the vehicle is centered, a wider envelope enables early target detection. When the vehicle approaches lane edges, the envelope width is reduced to prevent false detection of adjacent-lane objects. This dynamic adaptation resolves the contradiction between early detection and false positive prevention.
Solution Approach 2:
The patent changes the parameter of envelope width based on the host vehicle's lateral offset from the lane center. By calculating the lateral position and using it to modulate the envelope width parameter, the system optimizes detection performance. The width parameter is increased when the vehicle is well-positioned in the lane and decreased when approaching boundaries, thereby balancing early detection capability with accuracy in distinguishing relevant from irrelevant objects.
2Reliability
If the travel route envelope width is reduced to avoid adjacent-lane disturbances, then object plausibility determination is improved, but target object detection is delayed
Solution Approach 1:
The system dynamically adjusts the envelope width based on real-time lateral position data. When the host vehicle maintains a central position in the lane, the envelope width is expanded to enable early target object detection. This dynamic behavior ensures that the system achieves both early detection and reliable plausibility determination under appropriate driving conditions.
Solution Approach 2:
The envelope width parameter is changed as a function of the host vehicle's lateral offset. By using the lateral position as a control variable, the system optimizes the detection envelope to match the actual driving situation, achieving early detection when conditions permit while maintaining reliability.
3Stability of the object's composition
If the travel route envelope is enlarged to maintain steady target tracking, then tracking stability is improved, but adjacent-lane disturbances have longer and more intense effects
Solution Approach 1:
The patent applies dynamics by making the envelope width adaptive to the host vehicle's lateral position. When the vehicle is centered in the lane, a wider envelope provides steady target tracking. When the vehicle approaches lane edges, the envelope width is reduced to minimize the impact and duration of adjacent-lane disturbances. This dynamic adjustment resolves the contradiction between tracking stability and disturbance mitigation.
Solution Approach 2:
The system takes preliminary anti-action by reducing the envelope width before adjacent-lane disturbances can have prolonged effects. By monitoring lateral position and proactively adjusting the envelope width when the vehicle approaches lane boundaries, the system prevents extended exposure to disturbance effects, thereby reducing their overall impact on target tracking.
Data Source
AI summary
A method for determining the plausibility of objects in driver assistance systems of motor vehicles includes the steps of statistically analyzing the lateral offsets (Y) of stationary objects to detect left and right roadway boundaries, analyzing the lateral offsets (Y_H) of moving objects to detect any adjacent lanes, calculating a probability value Q_R that the host vehicle is in the extreme right traffic lane of the roadway and a probability value Q_L that the host vehicle is in the extreme left traffic lane, and varying the width and/or lateral position of the travel route envelope as a function of the probability values Q_R and Q_L.