Vehicle Radar Angle Correction Through Reference-Object Self-Calibration
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Solution Overview
Problem
Radar systems in vehicles face challenges in accurately determining object direction due to misalignment from mounting tolerances, aging, or changes, affecting reliability.
Innovation Solution
A method and system for automatically adjusting correction information in a radar system by identifying a reference object, ascertaining distance information, and using it to correct angle information, allowing continuous self-calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual alignment measurement is used to determine radar sensor mounting angle, then initial alignment accuracy can be achieved, but the correction information cannot be kept current when alignment changes occur due to aging or vehicle modifications
Solution Approach 1:
The radar system performs self-alignment by automatically identifying reference objects (such as road markings or traffic signs) and calculating correction information based on measured distances and known reference object positions. This eliminates the need for manual alignment measurements and enables continuous adaptation to alignment changes without external intervention.
Solution Approach 2:
The system continuously monitors the environment for reference objects, measures distances to these objects, compares them with stored reference data, and uses the discrepancies to calculate and update correction information. This feedback loop ensures that alignment corrections are automatically updated in response to aging, vehicle modifications, or mounting variations.
2Measurement precision
If correction information is manually measured and stored, then initial alignment can be established, but the system cannot continuously compensate for alignment deviations caused by aging or mounting errors
Solution Approach 1:
The radar system continuously performs alignment verification by repeatedly identifying reference objects, measuring distances, and calculating correction information. This continuous operation ensures that correction information remains valid and accurate over time, compensating for aging effects, mounting drift, or vehicle modifications without requiring manual re-measurement.
3Device complexity
If the radar system operates without continuous alignment verification, then system complexity is reduced, but direction determination reliability deteriorates due to mounting tolerances and aging
Solution Approach 1:
The radar system uses its own detection capabilities to perform alignment verification automatically. By identifying reference objects in the environment and measuring distances to them, the system calculates correction information without requiring external alignment equipment or manual intervention, thus avoiding additional complexity while maintaining high reliability.
Data Source
AI summary
A method for automatically adjusting correction information in a radar system of a vehicle. The method includes: performing at least one acquisition of at least one item of acquisition information by a radar sensor, the acquisition information being specific to at least one item of angle information and one item of distance information relating to at least one detected object in an environment of the vehicle. An identification of a reference object is performed in the environment on the basis of the acquisition information. An ascertainment of the distance information relating to the reference object is performed on the basis of the acquisition information. The adjustment of the correction information is performed on the basis of the ascertained distance information relating to the reference object in order to provide a correction of the angle information.