Spacecraft Fiducial Marker for Autonomous Rendezvous, Proximity Operations, and Docking

2026-06-25

AI Summary

This work addresses the limitations of existing single-scale fiducial markers, which are prone to detection failure during close-proximity spacecraft docking and thus inadequate for reliable visual tracking. To overcome this challenge, the authors propose AstraTag—the first recursive multi-scale fiducial marker designed specifically for autonomous on-orbit operations. AstraTag integrates Spidron fractal geometry with a 48-bit generalized Reed–Solomon error-correcting code and employs contour quadrilateral localization, perspective normalization, and thin-plate spline (TPS) remapping to handle marker deformation on curved surfaces. Experimental results demonstrate that AstraTag significantly outperforms both Fractal ArUco and AprilTag in both planar and curved scenarios, achieving notably higher detection rates on non-planar surfaces and thereby offering a more robust visual guidance solution for space robotics.

Abstract

Robotic operations in space are challenging due to the harsh environment and the high cost of failure. Fiducial markers provide visual references that aid autonomous rendezvous, proximity operations, and docking for space robots. However, existing fiducial markers are mostly single-scale and largely designed for terrestrial robotics. Such markers leave the camera's field of view at close range, precisely during the proximity and docking phases where reliable tracking is most critical. This paper presents AstraTag, a fiducial marker designed for autonomous on-orbit robotic operations. The marker template is based on a square Spidron pattern whose recursive, self-similar structure enables detection across multiple spatial scales. Marker identification uses a 48-bit signature derived from triangular sub-regions of the template and encoded with a Generalised Reed-Solomon (GRS) code. The detection pipeline performs contour-based quadrilateral localisation, perspective normalisation, and signature matching against a pre-computed dictionary. To handle markers affixed to curved spacecraft surfaces, it incorporates a Thin-Plate Spline (TPS) re-warp fallback that exploits the marker's internal rectangular borders as additional geometric correspondences. We benchmark AstraTag against three-layer Fractal ArUco and AprilTag on spacecraft mockups with flat and curved surfaces. On curved surfaces, AstraTag achieves a higher detection rate than both baselines, offering a robust recursive-marker option for space robotics.

Problem

• fiducial marker
• autonomous rendezvous
• proximity operations
• space robotics
• multi-scale detection

Innovation

• AstraTag
• Spidron pattern
• multi-scale detection
• Generalised Reed-Solomon code
• Thin-Plate Spline