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Deep Learning-Based Robust Optical Guidance for Hypersonic Platforms

arXiv 2505.06389 ↗First posted 9 May 2025cs.CVcited by 0

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Abstract (arXiv)

Sensor-based guidance is required for long-range platforms. To bypass the structural limitation of classical registration on reference image framework, we offer in this paper to encode a stack of images of the scene into a deep network. Relying on a stack is showed to be relevant on bimodal scene (e.g. when the scene can or can not be snowy).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 13 references that are in the map. First posted on arXiv 9 May 2025.

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8 of 13 references.

References · 8

  1. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  2. 2022A ConvNet for the 2020scited by 3,579
  3. 2021LoFTR: Detector-Free Local Feature Matching with Transformerscited by 984
  4. 2023LightGlue: Local Feature Matching at Light Speedcited by 590
  5. 2016LIFT: Learned Invariant Feature Transformcited by 306
  6. 2023RoMa: Robust Dense Feature Matchingcited by 302
  7. 2024The Road Less Scheduledcited by 163
  8. 2025MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Trainingcited by 41

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