Parking Assistance Merging Map Data With Sensor Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assistance systems for parking vehicles face challenges in reliably detecting and navigating into parking spaces, especially in environments lacking recognizable features like neighboring vehicles or clear markings, due to sensor uncertainty.
Innovation Solution
A method that combines sensor information with parking area data from maps to enhance detection and navigation, allowing for the selection of a suitable parking space and planning of optimal trajectories for sensor detection, independent of surrounding conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensor-based detection is used to identify parking spaces, then the system can operate autonomously without map data, but detection reliability deteriorates in environments lacking recognizable features
Solution Approach 1:
The patent merges map data containing parking space information with real-time sensor detection data. The computing device correlates sensor-detected objects with map data to identify and confirm parking spaces, combining the advantages of both autonomous operation and reliable feature-based detection.
2Reliability
If multiple sensors are used to improve detection coverage, then detection reliability improves, but device complexity and energy consumption increase
Solution Approach 1:
The system dynamically selects and activates sensors based on the detected environment and parking space characteristics. The computing device determines which sensors are needed for specific detection tasks, adjusting sensor usage in real-time to maintain reliability while minimizing complexity and energy consumption.
Solution Approach 2:
The patent adjusts sensor acquisition parameters and processing parameters based on the detected environment and parking space features. By changing detection ranges, resolution, and processing intensity according to situational needs, the system optimizes the balance between detection reliability and resource consumption.
3Measurement precision
If sensor acquisition parameters are increased to improve detection precision, then measurement precision improves, but energy consumption increases
Solution Approach 1:
The computing device dynamically adjusts sensor acquisition parameters and data processing parameters based on the detected environment and required detection precision. By adapting parameters such as detection range, resolution, and processing intensity to match situational requirements, the system achieves high measurement precision only when necessary, thereby optimizing energy consumption.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a method for operating a driver assistance system for supporting a parking operation of a motor vehicle, comprising the following steps: determining an actual vehicle position by means of a position-determining device of the motor vehicle, determining a certain parking region in which the motor vehicle should be parked, determining parking region information describing at least the parking region position of the certain parking region from specified map data in accordance with the actual vehicle position by means of a computing device of the motor vehicle, determining at least one piece of sensor information concerning the certain parking region by sensing the environment of the parking region position by means of at least one sensor of the motor vehicle, and outputting driver information and/or performing at least one driving intervention by means of the driver assistance system, in each case in accordance with both the parking region information and the sensor information.