菜单

High-Fidelity Orbital Reconstruction: A Physics-Grounded Simulation and Two-Phase Progressive Strategy for Space Objects 高保真轨道重建：面向空间目标的物理仿真与两阶段渐进策略

论文 · 2026

发表国际制导、导航与控制学术会议（ICGNC 2026）· Springer LNEE 论文集 · 已录用

作者Jiaqing Chen, Xinyun Chen, Tianshu Wang, Yonghe Zhang, Linzheng Tang, Zibing Qin, Chengyu Ma

署名说明第一作者

关键词On-orbit servicing, 3D reconstruction, Sensor fusion, Physics-based simulation, Non-cooperative targets, Orbital perception

具体工作内容

  1. 非合作目标在轨重建缺乏真值标定，受热漂移与太阳饱和影响严重。主导搭建集成 Gemini 435Le 深度相机、Robosense E1R 固态 LiDAR 与 IMU 的高保真仿真平台，细化传感器物理误差模型以复现典型在轨退化场景，为策略对比提供统一实验基准。
  2. 针对单次扫描难以兼顾完备性与精度的矛盾，推行「流形到点」两阶段流程：第一阶段球面扫描实现 100% 拓扑覆盖；第二阶段经主动接近精细化，使 Chamfer Distance 提升 7.4%。配合双重统计去噪抑制轨道伪影，最终确保局部重建精度达到 1.15cm 级别，支撑 OOS 任务的可度量性。
  3. 重建流水线需在拥堵轨道场景下对接近操作与机械臂任务可解释、可度量。参与拓扑完备性与几何误差等评价指标设计，组织对比实验验证两阶段策略相对基线的优势，形成可复现框架与量化依据，支撑论文中 OOS 感知仿真结论。

摘要

Safe On-Orbit Servicing (OOS) demands high-precision 3D reconstruction of non-cooperative targets. We develop a simulation platform incorporating detailed error models for LiDAR, depth cameras, and IMUs, accounting for thermal drift, solar saturation, and multi-path interference. A proposed two-phase “manifold-to-point” strategy integrates global spherical scanning for topological completeness with an active approach for local refinement. After suppressing orbital artifacts via edge-preserving statistical denoising, experiments demonstrate nearly 100% topological coverage and centimeter-level accuracy. This framework facilitates autonomous proximity operations and robotic manipulation in congested orbits.