Parking Assistance Lateral Boundary Detection
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Solution Overview
Problem
Existing parking assistance systems incorrectly detect temporary obstructions as static objects, leading to reduced availability of suitable parking spaces, especially in urban environments where moving objects like pedestrians or cyclists can temporarily block parking trajectories.
Innovation Solution
A method that classifies detected objects as static or moving based on the straightness of their contour line and fluctuation range of measurement points, allowing temporary obstructions to be ignored when calculating parking trajectories, thereby selectively offering suitable parking spaces to drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all detected objects are classified as static objects, then parking safety is improved by avoiding collisions with walls, fences, and barriers, but parking availability deteriorates because moving objects like pedestrians and cyclists are incorrectly treated as permanent obstructions
Solution Approach 1:
The system dynamically classifies objects as either static or moving based on their detected motion characteristics. Moving objects are tracked across multiple measurement cycles, and their classification is updated based on whether they exhibit motion patterns consistent with temporary obstructions. This dynamic classification allows the system to adapt its obstacle avoidance behavior in real-time, treating moving objects differently from fixed structures.
Solution Approach 2:
The system changes the classification parameter of detected objects from a static binary state to a dynamic state that can transition between 'moving' and 'static' categories. By monitoring parameters such as object position changes, speed, and trajectory over time, the system adjusts the obstacle status parameter to reflect the true nature of each object, thereby improving both safety and parking availability.
2Reliability
If the system offers fewer parking spaces to ensure safety, then false parking attempts are reduced, but the efficiency of the parking assistance system deteriorates
Solution Approach 1:
The system implements a feedback mechanism where detected objects are continuously monitored and re-evaluated across multiple measurement cycles. Objects initially classified as moving obstructions are fed back into the detection system for continued observation. If the objects remain moving or disappear, the original classification is maintained. If they become stationary, the classification is updated, and the parking space is重新 offered to the driver, thereby improving system efficiency without compromising safety.
Solution Approach 2:
The system performs preliminary classification of objects as moving or static during the initial detection phase, before presenting parking options to the driver. This preliminary action allows the system to pre-filter out temporary obstructions from the list of permanent barriers, enabling it to confidently offer parking spaces that would otherwise be incorrectly rejected, thus improving efficiency while maintaining accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the reliability of parking assistance systems by accurately distinguishing between static and moving objects, increasing the availability of parking options and improving the efficiency of assisted parking in narrow environments.
Implementation Method 1
one or more ultrasonic sensors are used
Data Source
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AI summary
The invention relates to a parking assistance system for ascertaining a parking space suitable for parking, having the following steps: - detecting at least one object that lies opposite a parking space; - classifying the detected object as a static object or as a moving object; and - selectively offering the parking space on the basis of the classification.