ADAS Sensor Calibration via Reference Selection
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) require real-time error calibration of sensors, but this process is costly and typically necessitates expensive evaluation and calibration equipment.
Innovation Solution
An apparatus and method for failure diagnosis and calibration of ADAS sensors, which includes a measuring unit with multiple sensors, a storage for characteristic data, and a processor that selects a reference sensor to diagnose and calibrate other sensors based on error covariance information, using modules for reference selection, diagnosis, and calibration to determine and correct measurement errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive evaluation and calibration equipment is used to implement sensor failure diagnosis and calibration, then measurement precision and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The system uses existing sensors within the ADAS to diagnose and calibrate each other, eliminating the need for external evaluation and calibration equipment. Each sensor serves dual purposes: its primary measurement function and its role as a reference for diagnosing other sensors, thereby reducing device complexity while maintaining calibration accuracy
Solution Approach 2:
The sensors in the ADAS system are made multi-functional by enabling them to perform both their original measurement tasks and additional functions as reference sensors for failure diagnosis and calibration of other sensors. This universal application of existing components avoids the need for specialized equipment
2Reliability
If multiple sensors are used to measure the same driving environment, then reliability is improved through cross-validation, but device complexity increases
Solution Approach 1:
The system implements a feedback mechanism where sensor measurements are continuously cross-validated against each other. When a sensor's measurements deviate from the consensus of other sensors, the system uses error covariance analysis to detect potential failures and triggers calibration processes, thereby improving reliability through intelligent use of existing multiple sensors without adding complexity
Solution Approach 2:
The system merges the functions of multiple sensors by selecting one as a reference sensor to diagnose and calibrate others. This combining of diagnostic and calibration functions within the existing sensor network achieves reliable failure detection without increasing device complexity
Data Source
AI summary
An apparatus for failure diagnosis and calibration of sensors for advanced driver assistance systems (ADAS) includes a measuring unit including two or more sensors mounted in a vehicle a storage for storing characteristic data of each of the two or more sensors, and a processor for selecting one of the two or more sensors as a reference sensor and for determining whether or not a failure of the other sensor to be diagnosed is detected and whether calibration thereof is required, on the basis of error covariance information of the reference sensor.