Parking Scenario Classification Using Sensor Parameters
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Solution Overview
Problem
Current parking assistance systems require drivers to manually select the parking scenario and strategy, as they can only determine the presence of a parking space, not the specific type, leading to increased driver burden and reduced comfort and safety.
Innovation Solution
A method and system for classifying parking scenarios using environment, motor-vehicle-specific, and driver-specific parameters, which determine and classify parking scenarios such as reversing into a perpendicular or parallel space, allowing the system to automatically propose the most suitable scenario to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the system only determines the presence of a parking space, then the system complexity is reduced, but the driver burden increases and comfort decreases
Solution Approach 1:
The parking assistance system automatically classifies parking scenarios and selects parking strategies without driver intervention. The system uses environment sensor data, vehicle parameters, and navigation information to autonomously determine the most suitable parking approach, making the system serve itself rather than requiring continuous driver input and decision-making.
2Ease of operation
If the system automatically selects parking scenarios, then driver comfort is improved, but the device complexity increases
Solution Approach 1:
The parking assistance system is divided into distinct functional modules: an environment sensor system for data acquisition, a classification device for scenario categorization, and a selection device for strategy determination. This segmentation allows each component to perform its specific function independently, managing overall system complexity while enabling automatic parking scenario selection that improves driver comfort.
Solution Approach 2:
The classification device acts as an intermediary between the environment sensor system and the selection device. It processes raw environment data, determines parking-space-specific parameters, and classifies scenarios before passing this structured information to the selection device, thereby managing complexity through intermediate processing layers.
3Measurement precision
If multiple parking scenario criteria are evaluated, then parking strategy accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary classification of parking scenarios based on environment data before selecting the optimal parking strategy. By pre-categorizing scenarios using parking-space-specific parameters and typical criteria, the system prepares structured information in advance, enabling faster and more accurate strategy selection without excessive processing delays during actual parking maneuvers.
Data Source
AI summary
A method for classifying parking scenarios for an assistance system for parking a motor vehicle wherein a predetermined number of parking scenarios are defined, each parking scenario is described by a predetermined number of typical parking scenario criteria, and the criteria are based at least on parking space-specific parameters. The method includes determination of data from the environment of the motor vehicle by means of an environment sensor system in the motor vehicle, determination of the parking space-specific parameters from the environment data, examining the criteria of each parking scenario on the basis of the parking space-specific parameters, and classifying each parking scenario on the basis of the examined criteria.