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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.06389 |
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| _version_ | 1866912368673423360 |
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| author | Chan-Hon-Tong, Adrien Plyer, Aurélien Cadalen, Baptiste Serre, Laurent |
| author_facet | Chan-Hon-Tong, Adrien Plyer, Aurélien Cadalen, Baptiste Serre, Laurent |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_06389 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Deep Learning-Based Robust Optical Guidance for Hypersonic Platforms Chan-Hon-Tong, Adrien Plyer, Aurélien Cadalen, Baptiste Serre, Laurent Computer Vision and Pattern Recognition 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). |
| title | Deep Learning-Based Robust Optical Guidance for Hypersonic Platforms |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2505.06389 |