Infrastructure Sensor Position Calibration via Moving Body
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Solution Overview
Problem
Existing infrastructure sensor calibration methods require multiple distance sensors to be distributed within a measurement range, which is impractical and inefficient.
Innovation Solution
A position calibration method for infrastructure sensors that uses a sensor unit to detect moving bodies, a radio reception unit to receive global position information from moving bodies, and calculates the sensor's position by extracting local and global estimated position information, allowing for calibration when the difference between the received and calculated positions exceeds a threshold, thereby reducing the need for multiple sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple distance sensors are distributed within a measurement range to perform calibration, then position calibration accuracy is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The patent extracts the calibration target from the infrastructure sensor field of view and uses it as an independent movable object equipped with position detection means. This allows calibration to be performed using a single infrastructure sensor by moving the calibration target to predetermined positions, eliminating the need for multiple distributed sensors while maintaining calibration accuracy
Solution Approach 2:
The patent introduces a calibration target as an intermediary object between the infrastructure sensor and the calibration process. The calibration target includes position detection means and is moved to predetermined positions to provide accurate position information to the infrastructure sensor, serving as a mediator that enables single-sensor calibration
2Measurement precision
If multiple distance sensors are distributed within a measurement range to perform calibration, then position calibration accuracy is improved, but loss of time and operational disruption increase
Solution Approach 1:
The patent employs a dynamic calibration approach where the calibration target is moved to predetermined positions rather than using multiple static sensors. This dynamic method allows calibration to be performed sequentially at different positions, reducing the need for extensive sensor deployment and minimizing traffic disruption while maintaining calibration accuracy
Solution Approach 2:
The patent performs preliminary positioning of the calibration target to predetermined positions before actual calibration measurements are taken. This preliminary action ensures that the calibration target is accurately positioned at each measurement point, enabling precise calibration with a single sensor and reducing the need for repeated calibration attempts that would cause time loss and traffic disruption
Data Source
AI summary
A position calibration method including, moving body information including first global estimated position information indicating global position information recognized as a geographic position of the moving body, the method including: extracting local estimated position information indicating a position of the moving body within the detection target region from information acquired by the sensor unit; calculating second global estimated position information estimated as the geographic position of the moving body based on the local estimated position information; and performing calibration of third global estimated position information held as a geographic position of the sensor unit when a determination value obtained from the difference between the first global estimated position information and the second global estimated position information exceeds a preset threshold value and based on a result of calibration processing in which a difference between the first global estimated position information and the third global estimated position information is reduced.