Vehicle Camera Alignment During Driving for Blind Spot Calibration
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Solution Overview
Problem
Existing methods fail to accurately correct installation errors of multiple cameras installed outside vehicles, particularly in blind spots, which affects the accuracy of road calibration and vehicle operation.
Innovation Solution
A method for correcting camera position and angle errors using a vehicle-mounted application that adjusts camera positions and angles to actual values while driving, allowing for real-time error correction without stopping the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If cameras are installed outside the vehicle to capture blind spots, then the coverage area is improved, but the installation position accuracy deteriorates
Solution Approach 1:
The system automatically performs road calibration and camera position correction without requiring manual intervention or professional calibration services. The vehicle itself generates the calibration data by capturing images during normal driving, and the system automatically processes these images to correct camera positions, enabling self-service calibration that eliminates the need for external calibration equipment or expert technicians.
Solution Approach 2:
The system performs preliminary road calibration by capturing reference images at predetermined positions before final camera position determination. This preliminary action of collecting calibration data during normal driving allows the system to pre-establish the relationship between camera positions and actual road features, which is then used to correct installation errors and improve positioning accuracy.
2Measurement precision
If traditional road calibration methods are used, then measurement accuracy is improved, but the complexity of the calibration process increases
Solution Approach 1:
The system extracts the road calibration function from complex professional calibration equipment and integrates it into the vehicle's existing camera system. By utilizing the vehicle's own cameras to capture calibration images and process correction data, the system removes the need for external calibration devices, reducing overall system complexity while maintaining measurement accuracy through software-based correction algorithms.
Solution Approach 2:
The system replaces mechanical calibration equipment and manual adjustment mechanisms with software-based image processing and automated correction algorithms. Instead of using physical calibration tools and manual camera positioning, the system captures images during driving and uses computational methods to determine and correct camera positions, substituting mechanical complexity with software intelligence.
3Measurement precision
If the vehicle stops for road calibration, then calibration accuracy is improved, but the productivity decreases
Solution Approach 1:
The system transforms the calibration process from a static, stopped-vehicle operation to a dynamic, moving-vehicle operation. By capturing calibration images while the vehicle is in motion during normal driving, the system allows calibration to occur dynamically without requiring the vehicle to stop, thereby maintaining calibration accuracy while significantly improving productivity and eliminating time loss.
Solution Approach 2:
The system enables continuous calibration data collection during normal driving operations rather than requiring intermittent stopping for calibration. The vehicle continuously captures road images that can be used for calibration purposes, maintaining the continuity of useful action (driving) while simultaneously performing the calibration function, thus eliminating downtime and improving overall productivity.
Data Source
AI summary
A method of correcting an arrangement error of a plurality of cameras installed outside a vehicle according to an embodiment of the present disclosure includes executing a camera's position error correction application to correct position errors of a plurality of cameras, the vehicle correcting camera position information preset to the reference camera position to the actual position of a plurality of cameras, and the vehicle correcting the camera position information to the actual position of a plurality of cameras, and then terminating the camera position error correction app.


