In-Cabin Sensor Recalibration for Shifting Vehicle Components
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Solution Overview
Problem
In-cabin sensors in vehicles face calibration issues when their location and/or orientation change, leading to reduced accuracy over time due to factors like steering wheel adjustments, vibrations, and temperature-related deformations.
Innovation Solution
The system dynamically updates the calibration parameters of interior vehicle sensors by using additional sensors associated with components that allow for automatic positional adjustment, or by processing sensor data to determine updated calibration values based on changes in sensor location and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in-cabin sensors are calibrated during production before deployment, then initial calibration accuracy is achieved, but calibration accuracy deteriorates over time due to sensor location and orientation changes
Solution Approach 1:
The system transitions from static calibration (fixed during production) to dynamic calibration (continuously updated during operation). The calibration parameters are no longer fixed but are dynamically adjusted based on real-time sensor data and component position information, allowing the system to adapt to changing sensor locations and orientations while maintaining accuracy.
Solution Approach 2:
The system implements feedback mechanisms where sensor data is continuously processed to detect changes in sensor location and orientation. This feedback loop triggers recalibration processes that adjust calibration parameters based on detected deviations, ensuring that calibration accuracy is maintained despite physical changes to the sensor environment.
2Measurement precision
If additional sensors are added to track component positions for dynamic calibration, then calibration accuracy is maintained, but device complexity increases
Solution Approach 1:
The system makes existing sensors serve multiple functions: their primary sensing function plus an additional function of tracking component position and orientation changes. By processing the same sensor data for dual purposes, the system avoids adding dedicated position sensors while still achieving the capability to detect and compensate for calibration drift.
Solution Approach 2:
The sensor system uses its own output data to monitor its positional changes and trigger recalibration. The system is self-aware of its state changes and self-correcting, eliminating the need for external monitoring systems or additional sensors to track calibration drift.
Data Source
AI summary
In various examples, interior sensor calibration for autonomous systems and applications is described herein. Systems and methods are disclosed that may recalibrate sensors of a vehicle, such as sensors located within the interior of the vehicle, using one or more techniques. For instance, if a sensor is attached to a component within the interior of the vehicle, an additional sensor associated with the component may output data indicating the location and/or orientation of the component within the vehicle. The indicated location and/or orientation of the component may then be used to recalibrate the sensor with respect to a reference coordinate system of the vehicle. For a second example, the sensor may output data representing at least a feature located within the interior of the vehicle. The sensor may then again be recalibrated based at least on a portion of the data that represents the feature.