Onboard Sensor Calibration Using Map Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing onboard vehicle sensor calibration techniques are inadequate for real-time calibration during vehicle operation, often relying on non-zero offset values that can lead to inaccurate data, and lack effective utilization of available vehicle data for precise calibration.
Innovation Solution
A method that collects vehicle status data and navigation map data during operation to calculate a current calibration factor for onboard sensors, determining calibration initiation conditions to apply a zero offset value for accurate sensor data generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration techniques are used, then sensor calibration can be performed, but the calibration accuracy deteriorates due to reliance on non-zero offset values and inability to perform real-time calibration
Solution Approach 1:
The system performs preliminary actions by collecting vehicle status data and navigation map data before calculating the calibration factor. It determines calibration initiation conditions based on pre-collected data, ensuring that calibration is performed under appropriate conditions (e.g., vehicle at rest or steady state) to achieve accurate zero offset values.
Solution Approach 2:
The system uses feedback by continuously monitoring vehicle status data and navigation map data to determine when calibration initiation conditions are satisfied. The calculated calibration factor is then fed back to adjust sensor readings in real-time, improving measurement precision while maintaining data accuracy during vehicle operation.
2Productivity
If real-time calibration is implemented, then calibration timing is improved, but system complexity increases due to need for data collection and condition analysis
Solution Approach 1:
The calibration system leverages existing universal data sources already present in modern vehicles - vehicle status data from the control system and navigation map data from the navigation system. This multi-functionality approach allows the same data infrastructure to serve both navigation and calibration purposes, reducing the need for dedicated calibration hardware.
Solution Approach 2:
The system performs self-service calibration by automatically collecting required data, analyzing calibration initiation conditions, and calculating calibration factors without requiring manual intervention or specialized calibration equipment. The control system autonomously manages the calibration process using readily available vehicle data.
3Ease of operation
If calibration is performed during vehicle operation, then calibration accessibility is improved, but measurement accuracy deteriorates due to motion-induced sensor offsets
Solution Approach 1:
The system dynamically adapts to vehicle operating conditions by continuously monitoring vehicle status data and navigation map data to determine when calibration initiation conditions are satisfied. This allows the system to perform calibration at appropriate moments during vehicle operation (e.g., when vehicle is at rest or in steady state) while maintaining measurement precision through real-time adjustments.
Data Source
AI summary
Systems, processes, and techniques for calibrating an onboard sensor of a vehicle are presented here. The vehicle has a control system that is capable of performing at least some of the tasks related to the calibration procedure. An exemplary methodology collects vehicle status data and obtains navigation map data during operation of the vehicle. A current calibration factor is calculated for the onboard sensor, based on the collected vehicle status data and the obtained navigation map data. More specifically, the vehicle status and navigation map data can be used to determine when the current conditions are suitable for performing calibration. When the current conditions are satisfactory, the calibration factor is calculated. Thereafter, the onboard sensor can be calibrated in response to the current calibration factor.