In-Drive Calibration Control for Automated Driving Sensors
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Solution Overview
Problem
Automated driving systems face challenges in precise calibration due to limited processing power and environmental dependencies, leading to potential calibration errors, especially with fisheye cameras, and require recalibration without stopping vehicle operation for user comfort.
Innovation Solution
A control device that automatically calibrates the automated driving system during driving by assessing processing load and environmental conditions, triggering calibration only when the load is below a threshold, and adjusting vehicle behavior to enhance calibration quality without stopping driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed continuously during automated driving, then measurement precision is improved, but processing load increases beyond available capacity
Solution Approach 1:
The system performs calibration periodically based on detected environmental conditions rather than continuously. The control device monitors calibration quality indicators and triggers calibration only when conditions are suitable, creating a periodic rather than continuous operation pattern that reduces processing load while maintaining precision when needed.
Solution Approach 2:
The system changes the operational parameters of calibration by adjusting the processing load threshold and calibration frequency based on environmental conditions. When processing load is high, calibration is deferred; when load is low and environmental conditions are favorable, calibration is performed, dynamically adapting parameters to resolve the contradiction.
2Measurement precision
If calibration is performed frequently to maintain precision, then measurement precision is improved, but loss of time increases due to recalibration operations
Solution Approach 1:
The system performs preliminary assessment of environmental conditions and processing load before initiating calibration. By evaluating calibration quality indicators and system state in advance, the system prepares for calibration only when conditions are optimal, avoiding unnecessary calibration operations and reducing overall calibration time while maintaining precision.
Solution Approach 2:
The system uses feedback from calibration quality indicators and environmental condition monitoring to determine when calibration is necessary. This feedback mechanism prevents unnecessary calibration operations, reducing time loss while ensuring calibration precision is maintained through targeted recalibration when quality degrades.
3Measurement precision
If calibration depends on environmental conditions, then measurement precision is improved, but adaptability decreases due to calibration failures in unsuitable conditions
Solution Approach 1:
The system cushions against calibration failures by beforehand checking environmental conditions and processing load before initiating calibration. This preliminary protection mechanism prevents calibration operations from starting when conditions are unsuitable, avoiding calibration failures and maintaining reliability while still achieving high precision when conditions permit.
Solution Approach 2:
The system uses feedback from environmental condition monitoring to adapt calibration operations. When conditions are unfavorable, calibration is deferred or adjusted, preventing failures. When conditions improve, calibration resumes, maintaining both precision and reliability through condition-based adaptation.
4Measurement precision
If automated driving is stopped for calibration, then measurement precision is improved, but productivity decreases due to interruption of driving operation
Solution Approach 1:
The system performs calibration periodically during driving operation based on environmental conditions and processing load, rather than stopping driving for calibration. This periodic approach allows calibration to occur during normal operation when conditions permit, maintaining both precision and productivity without interruption.
Solution Approach 2:
The system performs preliminary assessment of whether calibration can be performed during driving by checking processing load and environmental conditions. If conditions allow, calibration is performed during operation; if not, it is deferred to a suitable moment, avoiding driving interruption while maintaining calibration precision.
Data Source
AI summary
The invention relates to control device (1) for calibrating an automated driving system (10) of a vehicle (30) during driving, configured to:receive sensor information of at least one sensor (3) of the automated driving system, the sensor being configured to sense the environment of the vehicle,determine based on the received sensor information, whether calibration of the automated driving system and/or the sensor is necessary,determine the processing load of a processor unit (2) of the automated driving system, the processor unit controlling automated driving of the vehicle,calibrate the automated driving system and/or the sensor only, in case the determined processing load is below a predetermined load threshold.The invention further relates to an automated driving system, a vehicle and a method of calibrating an automated driving system of a vehicle.