Road Surveillance Calibration via Mobile Reference Vehicle
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Solution Overview
Problem
Current road surveillance systems require manual calibration, which disrupts traffic and poses safety risks, especially during high-traffic conditions, as the road needs to be closed for calibration, and this process is often inconvenient for maintenance personnel.
Innovation Solution
A method involving a calibration vehicle equipped with predefined markers that passes through the surveillance area, allowing vehicle surveillance means to measure their positions synchronously with a global timing signal, using a reference vehicle surveillance means to define a coordinate system and calibrate other units without the need for road closures, enabling simultaneous calibration and re-calibration without interrupting traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration with road markers is used, then calibration accuracy is achieved, but road closure is required causing traffic disruption
Solution Approach 1:
A calibration vehicle equipped with calibration markers serves as an intermediary mobile reference system, eliminating the need for static road markers and road closure while enabling accurate calibration of surveillance means through dynamic reference point provision
Solution Approach 2:
The calibration system transitions from static road markers to a dynamic mobile calibration vehicle that can move through the surveillance area, allowing calibration to be performed without interrupting traffic flow while maintaining measurement precision
2Measurement precision
If manual calibration is performed, then calibration accuracy is achieved, but maintenance personnel safety is compromised
Solution Approach 1:
The calibration vehicle acts as a safe intermediary that brings calibration markers into the surveillance area without requiring personnel to work on or near live traffic, eliminating exposure to moving vehicles while maintaining calibration precision
Solution Approach 2:
The system enables automated calibration where the mobile surveillance means automatically detect and measure the calibration markers on the moving vehicle, reducing or eliminating the need for manual adjustment and personnel intervention in hazardous zones
3Measurement precision
If road closure is implemented for calibration, then calibration can be performed, but calibration time is extended
Solution Approach 1:
By making the calibration reference system mobile rather than static, calibration can be performed during normal traffic operations, dramatically reducing the time loss associated with road closure while maintaining measurement accuracy through continuous reference marker provision
4Measurement precision
If frequent calibration is performed, then system accuracy is maintained, but traffic disruption increases
Solution Approach 1:
The mobile calibration vehicle enables frequent calibration operations without traffic disruption, allowing the system to maintain high measurement precision through regular recalibration while preserving continuous traffic flow
Solution Approach 2:
The calibration process can be performed continuously or repeatedly without interrupting the useful action of traffic flow, enabling frequent accuracy maintenance while keeping the road open for normal operations
Data Source
AI summary
A road calibration system and a method for calibration of a road surveillance system are provided. The road surveillance system monitors a surveillance area of a road using vehicle surveillance devices. The vehicle surveillance devices measure a position of a vehicle passing the surveillance area and are synchronized with a global timing signal. In order to calibrate the vehicle surveillance devices such that a position determination of the vehicle surveillance devices is equal, a calibration vehicle with predefined calibration markers is passed through the surveillance area. During the passage each measurement device measures a position of an assigned calibration marker at a predetermined time and compares a measured distance between the positions of the calibration markers with a reference distance between the positions of the calibration markers.