用事件相机实现无人协作航天器的高精度六自由度姿态追踪。
Stereo Event-based, 6-DOF Pose Tracking for Uncooperative Spacecraft
- 基于立体事件流的线结构重建与匹配,提升弱纹理目标追踪能力。
- 在自建数据集上实现亚毫米级定位误差,优于现有方法。
- 适合空间在轨服务、深空探测等高动态场景下的视觉导航。
非合作航天器的姿态追踪是空间探索与在轨服务的关键技术,仍属开放难题。事件相机具备高动态范围、高时序分辨率和低功耗等优势,有望克服传统相机在运动模糊和极端光照下的局限。本文提出一种基于立体事件相机的线特征姿态追踪方法,首先利用立体事件流的时空一致性进行航天器线框模型重建;随后设计事件与投影线之间的有效对应策略;进而将姿态追踪建模为6-DOF运动参数的连续优化问题,通过最小化事件到线距离求解。此外,构建了一个包含模拟与真实事件的立体事件型非合作航天器运动数据集。在自建数据集上的定量实验表明,该方法在精度和有效性方面均优于现有方法。代码将开源至 https://github.com/Zibin6/SE6PT。
原文摘要 · Abstract (English)
Pose tracking of uncooperative spacecraft is an essential technology for space exploration and on-orbit servicing, which remains an open problem. Event cameras possess numerous advantages, such as high dynamic range, high temporal resolution, and low power consumption. These attributes hold the promise of overcoming challenges encountered by conventional cameras, including motion blur and extreme illumination, among others. To address the standard on-orbit observation missions, we propose a line-based pose tracking method for uncooperative spacecraft utilizing a stereo event camera. To begin with, we estimate the wireframe model of uncooperative spacecraft, leveraging the spatio-temporal consistency of stereo event streams for line-based reconstruction. Then, we develop an effective strategy to establish correspondences between events and projected lines of uncooperative spacecraft. Using these correspondences, we formulate the pose tracking as a continuous optimization process over 6-DOF motion parameters, achieved by minimizing event-line distances. Moreover, we construct a stereo event-based uncooperative spacecraft motion dataset, encompassing both simulated and real events. The proposed method is quantitatively evaluated through experiments conducted on our self-collected dataset, demonstrating an improvement in terms of effectiveness and accuracy over competing methods. The code will be open-sourced at https://github.com/Zibin6/SE6PT.
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