Autonomous Mobile Vehicle Accuracy Measurement Using Optical Markers
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Solution Overview
Problem
Existing technologies lack a concrete means to measure the movement accuracy of autonomous mobile vehicles, such as AMR and AGV, after purchase, with manufacturers' specifications being the only source of accuracy information, leading to potential discrepancies and inconveniences.
Innovation Solution
An accuracy measurement method and device that calculates X-axis and Y-axis offsets by using a light beam to form spots on a marker, capturing images, analyzing them to determine distances, and performing regression calculations to obtain offsets, which can be assembled to or integrated with the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manufacturer specifications are used to obtain movement accuracy information, then the process is simple and no measurement device is needed, but the accuracy information cannot be verified and may not reflect true movement accuracy
Solution Approach 1:
The patent introduces a marker as an intermediary object that mediates between the autonomous mobile vehicle and the measurement system. The marker contains a reference pattern that can be captured by the vehicle's imaging device, enabling indirect measurement of movement accuracy through image analysis rather than direct physical measurement
Solution Approach 2:
The patent replaces complex mechanical measurement systems with an optical-based image analysis system. By using the vehicle's existing imaging device to capture marker images and analyzing the reference pattern in these images, the system determines movement accuracy without requiring additional mechanical measurement equipment
2Reliability
If a measurement system is implemented to verify movement accuracy, then true movement accuracy can be measured, but the system complexity increases and requires additional devices
Solution Approach 1:
The patent makes the autonomous mobile vehicle's existing imaging device serve multiple functions: both for navigation and for accuracy measurement. The same imaging device used for the vehicle's primary operation is also used to capture marker images for verification, eliminating the need for separate measurement equipment
Solution Approach 2:
The autonomous mobile vehicle performs self-measurement of its own movement accuracy by using its own imaging device to capture marker images. The vehicle's processing device analyzes these images to determine offset information, enabling the system to verify its own accuracy without external measurement equipment
3Measurement precision
If offset measurement is performed to determine positioning accuracy, then collision risk is reduced, but calculation complexity increases due to regression calculations
Solution Approach 1:
The patent performs preliminary action by pre-defining the reference pattern on the marker with known geometric properties. This reference pattern serves as a predetermined reference that simplifies subsequent calculations, as the known geometry provides a basis for determining offset information through image analysis
Solution Approach 2:
The patent creates a digital copy of the physical marker's reference pattern in the form of image data. By analyzing the captured image of the reference pattern and comparing it with the known reference pattern geometry, the system determines offset information through digital image processing rather than physical measurement
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate measurement of vehicle offsets, allowing users to confirm compliance with manufacturer-specified tolerances and reducing the risk of collisions by ensuring precise positioning.
Implementation Method 1
a light beam emitting step, an image capturing step, an image analyzing step
Data Source
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AI summary
An accuracy measurement method of an autonomous mobile vehicle (A), a calculating device (A2), and an autonomous mobile vehicle (A) are provided. The accuracy measurement method includes a distance calculating step (S1), a regression center calculating step (S2), and an average calculating step (S3). The distance calculating step (S 1) includes a controlling step (S11), a light beam emitting step (S12), an image capturing step (S13), an image analyzing step (S14), and a converting step (S15). The regression center calculating step (S2) is performed after the distance calculating step (S1) is repeatedly performed by at least two times. The accuracy measurement method is performed to obtain an X-axis offset in an X-axis direction, a Y-axis offset in a Y-axis direction, and a deflection angle (θ) of an autonomous mobile vehicle (A).