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Physically-Realizable Adversarial Attack against Spacecraft Pose Estimation via Active Optical Jamming

  • Yifei Yin
  • , Fengbiao Ji
  • , Dongyu Li
  • , Jun Xu
  • , Pengyu Guo*
  • *此作品的通讯作者
  • Beihang University
  • Shanghai Institute of Satellite Engineering
  • Shanghai Key Laboratory of Deep Space Exploration Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Vision-based spacecraft pose estimation is the cornerstone of autonomous on-orbit servicing and non-cooperative rendezvous. Currently, Hybrid Modular Pose Estimation (HMPE) pipelines remain the industry standard for these safety-critical missions due to their interpretability. However, these systems fundamentally rely on the axiom that high-contrast image features correspond to static, rigid geometric structures. We illustrate that this assumption can be physically violated on spacecraft platforms via Physically-Realizable Active Geometric Jamming. We propose an adversarial strategy where the target spacecraft employs onboard steerable spotlights to project beams onto its own planar surfaces, such as solar arrays. These projections create artificial high-contrast features that lack consistent 3D geometric causality, acting as high-confidence outliers that overwhelm the rejection capabilities of RANSAC. To identify effective illumination configurations within the non-differentiable and periodic parameter space, we formulate the attack as a zeroth-order optimization problem. We propose a Topology-Aware CMA-ES that explicitly handles the cyclic nature of angular search spaces, initialized via a Spatially-Structured Adversarial Atlas. Simulation results, conducted in a high-fidelity space environment incorporating HDR rendering and optical bloom artifacts, confirm that this approach systematically degrades the inlier ratio of standard HMPE pipelines, exposing a critical vulnerability in vision-based spacecraft navigation.

源语言英语
主期刊名2026 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2026 and International Symposium on Autonomous Systems, ISAS 2026
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798319531193
DOI
出版状态已出版 - 2026
活动2026 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2026 and International Symposium on Autonomous Systems, ISAS 2026 - Xuzhou, 中国
期限: 8 5月 2026 → 10 5月 2026

丛书

姓名2026 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2026 and International Symposium on Autonomous Systems, ISAS 2026

会议

会议2026 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2026 and International Symposium on Autonomous Systems, ISAS 2026
国家/地区中国
市Xuzhou
时期8/05/26 → 10/05/26

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