Forward Camera Yaw Offset Calibration for Lane Centering
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Solution Overview
Problem
Autonomous vehicles and advanced driver-assist systems face challenges in accurately determining and correcting yaw angle offsets of front-facing cameras due to manufacturing variations and operational disturbances, leading to errors in lane marking detection and vehicle alignment.
Innovation Solution
A control system that includes a look ahead module, lane center module, vehicle center line module, first and second lateral offset modules, and a yaw angle offset calculating module, which determine and compensate for yaw angle errors by calculating the yaw angle offset using samples of lateral offsets and distance to the look ahead point, enabling real-time adjustment of the camera's yaw angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If camera alignment is adjusted manually during manufacturing and servicing, then installation is simple, but manufacturing precision and reliability of camera alignment deteriorate due to variations in manufacturing tolerances and mechanical disturbances
Solution Approach 1:
The system performs self-calibration by automatically detecting lane markings and computing yaw angle offsets without requiring manual intervention. The camera system service itself by continuously monitoring and correcting its own alignment through the yaw angle offset calculating module and compensation process
Solution Approach 2:
The system performs preliminary calibration actions by pre-computing yaw angle offsets during periods when the vehicle is traveling straight, and stores these calibration values for later use. This preliminary calibration prevents alignment errors before they affect autonomous driving operations
2Measurement precision
If yaw angle offset calibration is performed continuously, then measurement precision of camera alignment improves, but device complexity and computational load increase
Solution Approach 1:
The system dynamically adjusts the calibration process by enabling yaw angle offset learning only under specific conditions (straight road detection, sufficient distance traveled). The enabling module dynamically activates or deactivates calibration based on real-time vehicle operating conditions, optimizing the balance between precision and complexity
Solution Approach 2:
The system uses feedback from lane marking detection and vehicle position data to continuously monitor alignment accuracy. The yaw angle offset calculating module receives feedback from lateral offset measurements and adjusts calibration parameters accordingly, creating a closed-loop control system that improves precision without requiring overly complex hardware
3Measurement precision
If camera yaw angle is corrected in real-time, then lane marking detection accuracy improves, but loss of time for processing and calculation increases
Solution Approach 1:
The system performs yaw angle offset calculations in advance when the vehicle is traveling straight and calibration conditions are met. These pre-computed calibration values are stored and applied during autonomous driving operations, avoiding real-time calculation delays during critical driving moments
Solution Approach 2:
The system performs yaw angle calibration periodically rather than continuously, activating the calibration process only when specific conditions are met (straight road, sufficient distance). This periodic calibration approach reduces computational time while maintaining detection accuracy through regular updates
Data Source
AI summary
A control system for a vehicle using a forward-facing camera includes a look ahead module configured to determine a distance to a look ahead point. A lane center module determines a location of a lane center line. A vehicle center line module determines a location of a vehicle center line. A first lateral offset module determines a first lateral offset based on the look ahead point and the determined lane center line. A second lateral offset module determines a second lateral offset based on the determined lane center line and the vehicle center line. A yaw angle offset calculating module receives the first lateral offset, the second lateral offset and the distance to the look ahead point, calculates a yaw angle offset, and compensates a yaw angle error based on the yaw angle offset.