Active Parking Assistant Threshold Control for Fewer Maneuvers
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Solution Overview
Problem
Current active parking assistant systems for motor vehicles often require multiple parking movements to achieve precise positioning in a parking space, with existing methods not effectively optimizing the number of movements needed to reach a target position, leading to inefficiencies in parking maneuvers.
Innovation Solution
A method that determines a parking maneuver data set with varying threshold values for each parking movement, allowing for more tolerant deviations from the target position as the number of movements increases, and only executes additional movements if they significantly improve the parking position, using a computer program product to manage the active parking assistant's steering and drive train interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single threshold value is used for all parking movements, then the control logic is simple, but the parking precision and efficiency deteriorate due to inability to adapt to different movement stages
Solution Approach 1:
The patent segments the threshold value parameter into multiple stage-specific threshold values (first threshold value for initial movements, second threshold value for subsequent movements). This segmentation allows each parking movement stage to have its own optimized tolerance level, improving overall parking precision without requiring a completely complex adaptive system.
Solution Approach 2:
The patent implements dynamic threshold adjustment based on the parking movement stage. The threshold value changes from a first value during initial parking movements to a second value during subsequent movements, allowing the system to adapt its precision requirements dynamically as the parking maneuver progresses, thereby improving efficiency and precision.
2Manufacturing precision
If multiple parking movements are executed to achieve precise positioning, then the parking precision is improved, but the parking time and number of interventions increase
Solution Approach 1:
The patent applies different threshold values for different parking movement stages, allowing partial precision requirements to be met at each stage rather than requiring full precision from the first movement. This enables the system to achieve satisfactory positioning with fewer movements by accepting progressively tighter tolerances as the vehicle approaches the target position.
Solution Approach 2:
The patent changes the threshold parameter based on the parking movement stage, transitioning from a first threshold value to a second threshold value. This parameter change optimizes the balance between precision and efficiency by adjusting the acceptance criteria for positioning at different phases of the parking maneuver.
3Manufacturing precision
If strict threshold criteria are applied from the beginning, then the parking precision is maintained, but the number of parking movements increases due to inability to tolerate reasonable deviations early in the maneuver
Solution Approach 1:
The patent implements dynamic threshold adjustment where the first threshold value applies during initial parking movements and the second threshold value applies during subsequent movements. This dynamic approach allows the system to tolerate reasonable deviations early in the maneuver when they are acceptable, then enforce stricter criteria as the vehicle approaches the target position, thereby improving maneuver efficiency without sacrificing final precision.
Solution Approach 2:
The patent applies a more tolerant first threshold value during preliminary parking movements, allowing the vehicle to make coarse adjustments to reach the general parking area. Only after this preliminary positioning phase does the system switch to the stricter second threshold value for fine-tuning the final position, thereby reducing the total number of movements required.
Data Source
AI summary
The invention relates to a method for operating a motor vehicle with an active parking assistant, comprising: determining a parking maneuver data set with at least one parking movement for a parking maneuver for parking in a parking space; determining a quality value representative of the parking situation of the motor vehicle in the parking space after the parking movement; comparing the quality value with a predetermined threshold value; providing the parking maneuver data set if the quality value is less than the threshold value; determining a further parking movement of the parking maneuver data set; determining a further quality value representative of the parking situation of the motor vehicle in the parking space after the further parking movement; and comparing the quality value with a predetermined threshold value if the quality value is greater than the threshold value.