Vehicle Sensor Calibration Using External Parking Data
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Solution Overview
Problem
Existing vehicle parking assistance systems face challenges in accurately calibrating internal sensors, leading to errors due to aging effects and changes in sensor geometry, which can limit the performance of advanced driver assistance systems (ADAS) like automatic parking assistants.
Innovation Solution
A method involving the use of external sensors to detect and send external location data to the vehicle, allowing for the calibration and filtering of internal location data, thereby correcting errors and ensuring robust operation of ADAS functions. This method can be applied in multi-storey car parks and vehicle manufacturing facilities, using redundant recording and sensor fusion techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If internal sensors are used for vehicle positioning in parking assistance systems, then the system can operate independently without external infrastructure, but errors due to aging effects and sensor geometry changes accumulate over time, reducing measurement precision
Solution Approach 1:
The system uses external sensors as a reference to detect errors in internal sensor measurements and feeds this error information back to correct the internal sensor readings. This feedback mechanism allows the system to maintain high positioning accuracy while preserving the ability to operate independently using internal sensors alone.
Solution Approach 2:
The system changes the operational parameters of the internal sensors by applying correction values derived from external sensor measurements. This allows the internal sensors to compensate for aging effects and geometry changes, maintaining measurement precision without losing independent operation capability.
2Measurement precision
If external sensors are deployed in multi-storey car parks for vehicle localization, then positioning accuracy is improved, but the system complexity increases due to additional infrastructure requirements
Solution Approach 1:
The external sensors in the parking assistance system serve multiple functions: they provide reference measurements for calibrating internal sensors, enable precise vehicle localization, and can guide vehicles to parking spaces. This multi-functionality justifies the infrastructure investment by delivering multiple benefits from a single system deployment.
Solution Approach 2:
The system performs preliminary calibration of internal sensors using external sensor data before the vehicle operates independently. This preliminary action ensures that the internal sensors are accurately calibrated and will maintain high positioning accuracy during subsequent independent operation, reducing the need for frequent recalibration.
3Device complexity
If internal sensor data is used without calibration, then the system operates simpler with fewer components, but errors from aging and installation position changes limit ADAS performance
Solution Approach 1:
The system performs self-calibration by using external sensor data to automatically detect and correct errors in internal sensor measurements. This self-service calibration approach maintains high ADAS reliability without requiring complex external calibration equipment or manual intervention, keeping the system relatively simple while ensuring accurate operation.
Data Source
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AI summary
The invention relates to a method for calibrating an internal sensor (35) in a vehicle (2) with an external sensor (12) which is designed to detect external positional data (14) dependent on a position of the vehicle (2). Said method comprises the following steps: detecting the external positional data (14) using the external sensor (12); sending the external positional data to the vehicle (2) and filtering (84) the internal positional data (33) based on the external positional data (14) and dependent on the position of the vehicle (2) and by means of an internal sensor (12).