Multi-Camera Position Measurement for Blind-Spot Error Selection
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Solution Overview
Problem
Existing position measurement systems struggle to accurately measure the positions of objects without inherent position detection units due to blind spots and environmental disturbances, leading to inaccurate measurement results.
Innovation Solution
A position measurement system utilizing multiple imaging means to capture images of objects with and without position detection units, incorporating an own position measurement, image analysis, and error estimation to select and determine accurate positions based on minimal measurement errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple imaging means are used to measure positions of objects without position detection units, then measurement coverage is improved, but measurement accuracy deteriorates due to environmental disturbances and blind spots
Solution Approach 1:
The system uses the own position detection unit on the measurement target object to provide feedback information about the object's actual position. This feedback is used to correct and improve the accuracy of positions estimated by the image analyzing means, thereby resolving the accuracy deterioration caused by environmental disturbances and blind spots while maintaining extended measurement coverage through multiple imaging means.
Solution Approach 2:
The own position detection unit acts as an intermediary that bridges the gap between the imaging means and the measurement target object. It provides auxiliary position information that helps the image analyzing means accurately estimate the object's position even when direct imaging is affected by blind spots or environmental disturbances, thus improving measurement accuracy without reducing coverage.
2Extent of automation
If sensors are equipped on the measurement target object, then autonomous position detection is improved, but blind spots caused by structures and obstacles worsen measurement coverage
Solution Approach 1:
The system merges the autonomous position detection capability (through the own position detection unit on the measurement target object) with the coverage advantage of fixed imaging means positioned around the work area. By combining these two approaches and integrating their results in the position determining means, the system achieves both autonomous detection and comprehensive coverage without the limitations of blind spots.
Solution Approach 2:
The system creates a universal position measurement solution that works for both objects with autonomous detection units and those without. The fixed imaging means can detect objects regardless of whether they have position detection units, while the own position detection unit provides additional autonomy. This multi-functional approach ensures comprehensive coverage and autonomous detection simultaneously.
3Measurement precision
If measurement data from each sensor is selected or discarded based on environmental situation, then measurement accuracy is improved, but system complexity increases
Solution Approach 1:
The own position detection unit provides continuous feedback about the measurement target object's position, which serves as a reference for the position determining means. This feedback mechanism simplifies the data selection process by providing a reliable baseline against which imaging data can be compared and validated, reducing the complexity of environmental assessment while maintaining high measurement accuracy.
Solution Approach 2:
The measurement target object with its own position detection unit essentially performs self-positioning, which reduces the burden on the external imaging system. The object's self-provided position information serves the overall measurement system, simplifying the data selection and processing requirements for the fixed imaging means and position determining means while maintaining high accuracy.
Data Source
AI summary
A position measurement system comprises: a plurality of imaging means for capturing images of an own position-detecting measured object having an own position detection unit and another measured object having no own position detection unit; an own position measurement means for obtaining the position of the own position-detecting measured object on the basis of own position information from the own position detection unit; an image analysis means for estimating the positions of the own position-detecting measured object and the other measured object for each of the images; and a position determination means which compares the position of the own position-detecting measured object measured by the own position measurement means with the position of the own position-detecting measured object estimated by the image analysis means for each of the captured images, and which determines one of the positions of the other measured object estimated for the respective captured images.