Vehicle Sensor Calibration Using a Movable Universal Target
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Solution Overview
Problem
Current calibration technologies lack the capability for high-precision, cost-effective, and high-frequency calibration of vehicle sensors outside dedicated factory settings, failing to meet the needs of large-quantity calibration tasks and lacking a data closed loop for statistical analysis.
Innovation Solution
A calibration method and system that involves a movable and adjustable target apparatus, allowing sensors to be calibrated without a dedicated calibration room, using a unified calibration algorithm to collect and process data for multiple sensors, enabling large-quantity high-frequency calibration while ensuring accuracy and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated calibration rooms and expensive alignment systems are used, then calibration precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a camera to capture images of calibration targets and processes these images computationally to determine sensor parameters. This replaces expensive physical alignment systems with optical copying and digital processing, achieving high precision without complex mechanical equipment
Solution Approach 2:
The patent replaces mechanical alignment systems and physical measurement tools with computer vision algorithms and image processing. The calibration is performed through digital computation of camera images rather than mechanical measurement, simplifying the physical system while maintaining precision
2Measurement precision
If dedicated calibration rooms are used, then calibration accuracy is improved, but ease of operation deteriorates due to limited availability
Solution Approach 1:
The patent uses a movable target apparatus that can be positioned at different locations around the vehicle. This dynamic positioning allows calibration to be performed in various environments including outdoor road sides, eliminating the need for fixed dedicated calibration rooms and improving accessibility
Solution Approach 2:
The patent introduces a control apparatus that coordinates between the movable target apparatus, vehicle sensors, and calibration algorithms. This intermediary system manages the complex interactions and enables calibration in diverse environments without requiring specialized facilities
3Measurement precision
If multiple customized targets are used for different sensors, then measurement precision is improved, but device complexity and maintenance cost increase
Solution Approach 1:
The patent designs a universal target apparatus that can serve multiple sensor types (cameras, LiDAR, radar) through different positioning configurations and target patterns. This single multi-functional device replaces the need for multiple sensor-specific customized targets, reducing complexity while maintaining precision for each sensor type
4Measurement precision
If conventional calibration methods are used, then single vehicle calibration is completed, but productivity decreases due to inability to handle large-quantity tasks
Solution Approach 1:
The patent pre-calculates and stores optimal positioning information for the movable target apparatus corresponding to different sensor types. This preliminary preparation enables rapid deployment and execution of calibration tasks without time-consuming setup, significantly improving throughput for large-quantity calibration tasks while maintaining accuracy
Solution Approach 2:
The patent systematically varies calibration parameters such as target position, orientation, and sensor configuration to optimize calibration efficiency. By changing these parameters in structured ways, the system can efficiently process multiple sensors and vehicles, transforming single-vehicle calibration into scalable high-throughput operations
Data Source
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AI summary
The disclosure relates to the field of calibration technologies, and provides a calibration method and system, a control apparatus, a readable storage medium, and a driving device, which are intended to solve the problem of how to perform large-quantity high-frequency vehicle sensor calibration tasks while ensuring calibration accuracy. In the method, a first target in a target apparatus is moved, based on calibration requirements of a driving device to be calibrated, to a calibrated position corresponding to a sensor type, a sensor is controlled to collect target patterns, calibrated data is obtained. Based on the calibrated data, parameters to be calibrated of the sensor that needs to be calibrated are calibrated by applying a preset calibration algorithm. Since a position of the first target in the target apparatus is movable, a plurality of sensors of the driving device to be calibrated can be calibrated without a need for a dedicatedly made calibration room, there is no need to customize targets for the plurality of sensors, and large-quantity high-frequency calibration tasks can be implemented while ensuring calibration accuracy, thereby effectively reducing calibration costs.