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A Computer Vision-Based Navigation and Localization Method for Station-Moving Aircraft Transport Platform with Dual
Jianming Tang1,2, Weidong Zhu1,2, Yunbo Bi1,2
1State Key Laboratory of Fluid Power and Mechatronic System, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
Sensors (Basel, Switzerland)
|January 18, 2020
Summary
A new vision-based system uses QR codes and cameras to guide aircraft transport platforms on assembly lines. This low-cost method precisely locates platforms, reducing navigation errors for efficient aircraft final assembly.
Area of Science:
- Robotics and Automation
- Computer Vision
- Aerospace Manufacturing
Background:
- Aircraft final assembly lines require precise and adaptable transport systems.
- Existing guidance methods can be costly and inflexible for dynamic assembly processes.
Purpose of the Study:
- To develop a low-cost, adaptable vision-based guidance system for aircraft transport platforms.
- To improve the accuracy and reliability of platform navigation between assembly stations.
Main Methods:
- Utilized a vision-based system with two complementary metal oxide semiconductor (CMOS) cameras and two-dimensional codes.
- Implemented Canny edge detection for precise localization of the platform via QR code analysis.
- Developed a method to calculate and correct platform position and posture deviations.
Main Results:
- Experimental validation demonstrated the system's feasibility on a developed platform.
- Achieved high accuracy in platform localization, with distance errors within ±10 mm.
- Angle errors were maintained within ±0.15°, ensuring precise navigation.
Conclusions:
- The proposed vision-based guidance method offers a cost-effective and flexible solution for aircraft assembly lines.
- The system effectively corrects for motion errors, enabling precise platform navigation.
- This technology enhances the efficiency and adaptability of aircraft final assembly processes.
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