Monitoring Camera FOV Adjustment for Sensor Error Compensation
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Solution Overview
Problem
Existing monitoring systems face inaccuracies in interlocking a monitoring area with a target position due to measurement errors from sensors like GPS and inertial navigation systems, leading to incorrect positioning and potential loss of the target from the camera's field of view.
Innovation Solution
An operating apparatus and monitoring apparatus system that determines a driving angle and interlocking field of view (FOV) by considering measurement errors, using a controller to adjust the monitoring camera's pointing direction and FOV to accurately position the target within the camera's image, and performs re-driving when necessary to maintain target tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If measurement errors from GPS and inertial navigation sensors are used to determine target coordinates, then the monitoring system can operate with available sensor data, but the accuracy of interlocking the monitoring area with the target position deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating correction values based on the characteristics of measurement errors from GPS and inertial navigation sensors. These correction values are applied in advance to the coordinate data before interlocking the monitoring area with the target position, thereby compensating for the inherent inaccuracies and improving positioning accuracy without requiring additional sensors.
Solution Approach 2:
The system implements feedback by continuously monitoring the actual position of the monitoring apparatus and comparing it with the calculated position based on sensor data. The difference (error) is fed back to the control unit, which then adjusts the turning angle and height angle calculations to correct the positioning deviation, ensuring accurate interlocking despite sensor measurement errors.
2Reliability
If the field of view (FOV) of the monitoring camera is adjusted to cover the target area, then the target can be captured in the image, but the target may disappear from the image when the FOV is not greater than the driving accuracy of the monitoring apparatus
Solution Approach 1:
The system applies parameter changes by dynamically adjusting the field of view (FOV) of the monitoring camera based on the calculated turning angle and height angle, as well as the current distance to the target. The control unit modifies the FOV parameter to ensure it is sufficiently large to accommodate the target within the image frame, compensating for the driving accuracy limitations and preventing target loss even when sensor-based positioning has deviations.
3Ease of operation
If coordinate transformations are performed using satellite, inertial navigation sensor, and inclinometer data, then the monitoring system can calculate turning angle and height angle, but large differences from true values occur due to measurement errors
Solution Approach 1:
The system introduces an intermediary correction mechanism that processes the raw measurement data from satellite, inertial navigation sensors, and inclinometers through a control unit. This intermediary layer calculates correction values based on the known error characteristics of each sensor type and applies them to the turning angle and height angle calculations, thereby mediating between the available sensor data and the required positioning accuracy.
Data Source
AI summary
Provided is a monitoring system including: a monitoring apparatus configured to monitor a target; and an operating apparatus configured to operate the monitoring apparatus. In the monitoring system, the operating system includes a controller, and the controller is configured to obtain target information from an outside; receive monitoring information from the monitoring apparatus; determine driving information for driving the monitoring apparatus so that the target is positioned in a monitoring area of the monitoring apparatus, based on the target information and the monitoring information; determine an interlocking field of view (FOV) for adjusting the monitoring area on the basis of the driving information; and transmit the interlocking FOV and a driving angle based on the driving information, to the monitoring apparatus.