首个基于事件相机的太空扰动星跟踪数据集，助力航天器高精度定位。
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset
- 用压电执行器模拟航天器扰动，实现可控重复的抖动环境
- 采集200段事件相机星观测序列，含硬件真实抖动标签
- 适合做事件相机抗抖算法、空间感知系统的研究者使用
扰动会降低航天器在光学通信、地球观测和太空态势感知中的精细指向能力。开发扰动估计与补偿算法需要高保真的车载扰动传感器数据。本文提出首个基于事件相机的星跟踪扰动数据集——e-STURT：通过专用硬件模拟事件相机在轨扰动，利用微米级精度压电执行器引入系统性、可重复的扰动，覆盖不同频率带宽及双轴运动。事件相机提供异步、高时间分辨率的星体观测，同时硬件记录真实扰动信号。数据集包含200个序列，已公开。文中还介绍了数据生成过程、技术挑战及局限性，并提出一种直接处理事件流的高频扰动估计算法作为基线。e-STURT将推动面向任务关键型事件相机空间感知应用的抗扰算法发展。
原文摘要 · Abstract (English)
Jitter degrades a spacecraft's fine-pointing ability required for optical communication, earth observation, and space domain awareness. Development of jitter estimation and compensation algorithms requires high-fidelity sensor observations representative of on-board jitter. In this work, we present the Event-based Star Tracking Under Jitter (e-STURT) dataset -- the first event camera based dataset of star observations under controlled jitter conditions. Specialized hardware employed for the dataset emulates an event-camera undergoing on-board jitter. While the event camera provides asynchronous, high temporal resolution star observations, systematic and repeatable jitter is introduced using a micrometer accurate piezoelectric actuator. Various jitter sources are simulated using distinct frequency bands and utilizing both axes of motion. Ground-truth jitter is captured in hardware from the piezoelectric actuator. The resulting dataset consists of 200 sequences and is made publicly available. This work highlights the dataset generation process, technical challenges and the resulting limitations. To serve as a baseline, we propose a high-frequency jitter estimation algorithm that operates directly on the event stream. The e-STURT dataset will enable the development of jitter aware algorithms for mission critical event-based space sensing applications.
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