UAV Vision Measurement for Static Rigid Objects
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Solution Overview
Problem
Existing vision measurement solutions for static rigid objects require auxiliary devices like markers and light pens, limiting their versatility and applicability beyond precision industrial measurements.
Innovation Solution
A method utilizing an unmanned aerial vehicle (UAV) platform for vision measurement, which includes object detection, three-dimensional reconstruction, and point cloud processing to measure object sizes without the need for auxiliary devices, using a camera, Global Navigation Satellite System (GNSS), and Inertial Measurement Unit (IMU) data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If auxiliary devices such as markers and light pens are used in vision measurement, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts and removes the auxiliary devices (markers, light pens) from the vision measurement system, achieving measurement without these additional components by using only the camera and processing algorithms
Solution Approach 2:
The system uses the target object itself and its natural features for measurement, without requiring external auxiliary devices. The object's own characteristics are leveraged to provide the necessary measurement references
2Measurement precision
If auxiliary devices such as markers and light pens are used in vision measurement, then measurement precision is improved, but versatility deteriorates
Solution Approach 1:
The patent creates a universal vision measurement system that can measure various types of objects without requiring specific auxiliary devices. The system adapts to different measurement scenarios by using the camera and algorithmic processing alone, making it applicable to diverse objects and environments
3Measurement precision
If manual marking using markers and light pens is used, then measurement accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically detects and marks measurement points on the target object using computer vision algorithms, eliminating the need for manual marking operations. The computer performs the marking task automatically based on image processing results
Solution Approach 2:
The patent replaces the manual mechanical marking process (using light pens and markers) with an automated computer-based image processing system, substituting human operation with algorithmic processing
Data Source
AI summary
The present disclosure provides an unmanned aerial vehicle platform based vision measurement method for a static rigid object. Aiming at the problem of high professionality but poor versatility of existing vision measurement methods, the present disclosure uses a method combining object detection and three-dimensional reconstruction to mark an object to be measured, and uses a three-dimensional point cloud processing method to further mark a size to be measured and calculate its length, which takes full advantage of the convenience of data collection by an unmanned aerial vehicle platform (UAV), and its global navigation satellite system (GNSS), an inertial measurement unit (IMU) and the like to assist measurement. There is no need to use common auxiliary devices such as a light pen and a marker, which can improve the versatility of vision measurement.