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Real-Time Docking Ring Detection Based on the Geometrical Shape for an On-Orbit Spacecraft
Limin Zhang1, Wang Pan1, Xianghua Ma1
1School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China.
We developed a real-time method to detect spacecraft docking rings using arc extraction and ellipse fitting. This technique enhances automatic capture, rendezvous, and docking capabilities for space missions.
Area of Science:
- Spacecraft engineering
- Computer vision
- Robotics
Background:
- Accurate detection of spacecraft docking rings is crucial for automated rendezvous, proximity operations, and docking.
- Existing methods may lack the real-time performance and robustness required for on-orbit applications.
Purpose of the Study:
- To propose and validate a novel, real-time method for detecting docking rings on spacecraft based on their geometric properties.
- To improve the reliability and efficiency of automated spacecraft docking procedures.
Main Methods:
- Extraction and classification of arcs from edge masks based on direction and convexity.
- Development of an arc selection strategy to identify potential elliptical structures.
- Least squares fitting for ellipse parameter estimation and validation against edge pixels.
Main Results:
- The proposed method demonstrates superior performance compared to state-of-the-art techniques.
- Achieved real-time detection capabilities suitable for on-orbit operations.
- The method showed robustness in identifying docking rings.
Conclusions:
- The developed arc-based ellipse fitting method provides an effective solution for real-time docking ring detection.
- This technology significantly benefits automated spacecraft capture, rendezvous, and docking.
- The approach is adaptable for other applications involving circular object detection.
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