2024/11/04 by Samya Bagchi, Peter Anastasiou, Bagchi, Samya +7 · 1 citation
Engineering · Physics and Astronomy · #Compensation (psychology) #Computer Vision and Pattern Recognition (cs.CV) #Event (particle physics) #FOS: Computer and information sciences #FOS: Electrical engineering #Inertial Sensor and Navigation #Ionosphere and magnetosphere dynamics #Jitter #Signal Processing (eess.SP) #Space Satellite Systems and Control #Spacecraft #Star (game theory) #Tracking (education) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2505.12588
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2024/11/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.