Event-Based Star Tracking Under Spacecraft Jitter: The e-STURT Dataset

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Authors: Samya Bagchi, Peter Anastasiou, Matthew Tetlow, Tat-Jun Chin, Yasir Latif
Cited by: 3
References: 34

Abstract

Jitter degrades a spacecraft's fine-pointing ability required for optical communication, earth observation, and space domain awareness. The development of jitter estimation and compensation algorithms requires high-fidelity sensor observations representative of on-board jitter. In this work, we present theEvent-based Star Tracking Under Jitter(e-STURT) dataset-the first event camera-based dataset of star observations under controlled jitter conditions. The special 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 micrometeraccurate piezoelectric actuator. Various jitter sources are simulated using distinct frequency bands and using both axes of motion. Ground-truth jitter is captured in the hardware of the piezoelectric actuator. The resulting dataset consists of 200 sequences and is made publicly available1. 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.

Fields of Study & Subjects

Inertial Sensor and Navigation Space Satellite Systems and Control Spacecraft Design and Technology

Publication details

Journal / source
IEEE Transactions on Aerospace and Electronic Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
62
Pages
4629–4645
Publication date
1 January 2026