Work

An Efficient and Robust Ellipse Detection Method for Spacecraft Docking Rings in Complex Scenes

Year: 2026

Type: article

Abstract: The key components of spacecraft are typically present as circular or near-circular structures, and their precise and rapid extraction is essential for spacecraft attitude estimation. In response to the high precision and robust detection of ellipse components on space non-cooperative targets such as spacecraft docking rings, this paper proposes an efficient and robust ellipse detection method. This method first uses the arc-support line segment method to extract ellipse arc segments and then employs a hierarchical quadrant division strategy with a "coarse-to-fine" approach, integrating multiple constraints such as angle, quadrant, and relative position to combine arc segments and generate ellipse candidates. It uses a comprehensive score based on edge density, global coverage and local continuity to select the optimal ellipse from among the valid ellipses. Finally, a dynamic arc segment pruning method is introduced to dynamically remove relevant arcs from optimal ellipses, obtaining high-quality and non-redundant detection results. This method can achieve robust ellipse detection even when docking ring contours are partially obscured by shadows from robotic arms or nozzles.

Source: Sensors

DOI: 10.3390/s26020396

Authors: Qi Wu, An Shu, Haodong Pei, Kun Yu, Muyun Luo, Yunmeng Liu

Institutions: Chinese Academy of Sciences, Shanghai Institute of Technical Physics, University of Chinese Academy of Sciences

Language: English

Topic: Image and Object Detection Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Shanghai Institute of Technical Physics, Chinese Academy of Sciences