Steering Angle Offset Calibration Using Infrastructure Sensors
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Solution Overview
Problem
Current calibration methods for steering angle offsets in steer-by-wire vehicles are time-consuming and hinder the implementation of automated manufacturing systems due to vehicle-specific calibration requirements and large errors from part variability and installation variances.
Innovation Solution
A method and system using infrastructure sensors to determine vehicle pose information, calculate steering offsets through a learning model, and transmit offset commands wirelessly to vehicles for real-time calibration, enabling automated marshaling and alignment without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration methods (dynamometer, extended calibration process, wheel-alignment station) are used, then steering angle offset calibration can be performed, but the process is time-consuming and inhibits automated manufacturing system implementation
Solution Approach 1:
The patent replaces traditional mechanical calibration systems (dynamometers, wheel-alignment stations) with an optical sensing system that uses cameras and computer vision algorithms to detect vehicle pose and calculate steering offsets. This substitution eliminates the need for physical contact with the vehicle and enables automated, rapid calibration without manual intervention.
Solution Approach 2:
The patent creates a virtual model of the vehicle's pose and steering geometry by capturing images with infrastructure sensors and processing them through calibration algorithms. This digital copy allows for rapid calculation and correction of steering offsets without physical measurement and adjustment procedures.
2Manufacturing precision
If vehicle-specific calibration is performed to account for part variability and installation variances, then accurate wheel alignment can be achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The patent implements a universal calibration system that can handle all vehicle-specific variations (part variability, installation variances) through a single automated process. The infrastructure sensors and calibration algorithms are designed to work with any vehicle model, eliminating the need for multiple specialized calibration procedures for different vehicle types.
Solution Approach 2:
The patent dynamically adjusts calibration parameters based on real-time sensor data and vehicle-specific characteristics. The system automatically adapts to different vehicles by changing measurement and calculation parameters, rather than requiring manual reconfiguration of the calibration process for each vehicle type.
3Ease of operation
If manual calibration processes are used, then steering angle offsets can be corrected, but human intervention is required which reduces manufacturing efficiency
Solution Approach 1:
The calibration system performs self-calibration by automatically capturing vehicle pose data, calculating steering offsets, and transmitting correction commands to the vehicle's control system. The entire process occurs without human intervention, with the system serving itself to eliminate manual calibration steps.
Solution Approach 2:
The patent implements a closed-loop feedback system where infrastructure sensors continuously monitor vehicle pose, the calibration algorithm calculates steering offsets in real-time, and correction commands are transmitted back to the vehicle's steering control system. This automatic feedback loop enables rapid iteration and convergence to the correct steering alignment.
Data Source
AI summary
A method for the determination of pose information associated with a vehicle, the determination of a steering angle offset of the vehicle using an offset determination model configured to learn the steering angle offset of the vehicle, and the transmission of one or more steering angle offset commands to the vehicle.