Vehicle Speed Correction Using Camera Image Error Rate
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Solution Overview
Problem
Existing vehicle speed measurement systems, such as wheel speed sensors, are inaccurate when wheels are broken, replaced, or when tire pressure is abnormal, leading to discrepancies between measured and actual vehicle speeds.
Innovation Solution
A vehicle control method and apparatus that uses image information from a camera to measure a relative vehicle speed and calculate an error rate, correcting the vehicle speed by combining this information with wheel speed sensor data to determine accurate vehicle speed and detect wheel abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wheel speed sensor is used to measure vehicle speed, then vehicle speed measurement is simple and direct, but measurement accuracy deteriorates when wheel is broken, replaced, or tire pressure is abnormal
Solution Approach 1:
The patent introduces an image processing system as an intermediary measurement method. Instead of directly measuring wheel speed, the system captures images of the road surface and calculates vehicle speed based on the movement of road features in the image sequence. This intermediary approach provides an alternative measurement path that is not affected by wheel or tire abnormalities.
Solution Approach 2:
The patent replaces the mechanical wheel speed sensor system with an optical image processing system. The mechanical measurement method (using tone wheels and magnetic sensors) is substituted with an optical method that captures road surface images and computes speed from pixel displacement, thereby eliminating the dependency on mechanical wheel components.
2Measurement precision
If image processing method is used to measure vehicle speed, then measurement accuracy under abnormal conditions is improved, but device complexity increases
Solution Approach 1:
The patent makes the imaging system serve multiple functions: it is used for both vehicle speed measurement and road condition monitoring. The same camera and image processing algorithms are utilized to detect wheel abnormalities, tire pressure issues, and road surface conditions, thereby reducing the need for separate dedicated systems.
Solution Approach 2:
The patent implements a feedback mechanism where the image processing system continuously monitors wheel rotation characteristics and provides feedback to the control unit. When abnormalities are detected (such as unexpected pixel displacement patterns or inconsistent speed calculations), the system adjusts its measurement approach or alerts the driver, creating a closed-loop monitoring system.
Data Source
AI summary
Vehicle control apparatus and method are disclosed. A method for controlling a vehicle control apparatus includes: measuring a vehicle speed to measure a first vehicle speed and a second vehicle speed of a vehicle, calculating an error rate to calculate an error rate of a vehicle speed using the first vehicle speed and the second vehicle speed measured in the measuring of the vehicle speed, and correcting a vehicle speed to correct a speed of the vehicle by calculating a third vehicle speed of the vehicle based on the error rate calculated in the calculating of the error rate.