为太空机器人设计可多尺度识别的自适应标记,提升对接阶段追踪稳定性。
Spacecraft Fiducial Marker for Autonomous Rendezvous, Proximity Operations, and Docking

- 基于分形斯皮德龙图案实现跨尺度检测,支持远近不同距离识别
- 48位签名结合格罗斯码,提升标记唯一性与抗干扰能力
- 适配曲面载体,通过薄板样条重映射增强复杂表面追踪鲁棒性
空间机器人自主交会、接近与对接任务因环境恶劣且失败成本高而极具挑战。视觉标记作为参考点可辅助实现自动化操作,但现有标记多为单尺度设计,主要用于地面机器人,难以在近距离(即接近与对接阶段)持续被相机捕捉。本文提出AstraTag,一种专为轨道机器人任务设计的新型标识。其模板基于正方形分形斯皮德龙结构,具有递归自相似特性,可在多尺度下稳定检测。标记识别采用由三角子区域生成的48位签名,并使用广义里德-索罗门(GRS)码编码。检测流程包括基于轮廓的四边形定位、透视归一化及与预存字典的签名匹配。针对附着于曲面航天器的情况,引入薄板样条(TPS)重映射机制,利用标记内部矩形边界作为额外几何对应点。在带有平面与曲面的航天器模型上,对比三层分形ArUco与AprilTag,AstraTag在曲面上表现出更高的检测率,为太空机器人提供可靠的递归标记解决方案。
原文摘要 · Abstract (English)
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.
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