Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866910962820317184 |
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| author | Zouzou, Alya andéol, Léo Ducoffe, Mélanie Boumazouza, Ryma |
| author_facet | Zouzou, Alya andéol, Léo Ducoffe, Mélanie Boumazouza, Ryma |
| contents | We explore the use of conformal prediction to provide statistical uncertainty guarantees for runway detection in vision-based landing systems (VLS). Using fine-tuned YOLOv5 and YOLOv6 models on aerial imagery, we apply conformal prediction to quantify localization reliability under user-defined risk levels. We also introduce Conformal mean Average Precision (C-mAP), a novel metric aligning object detection performance with conformal guarantees. Our results show that conformal prediction can improve the reliability of runway detection by quantifying uncertainty in a statistically sound way, increasing safety on-board and paving the way for certification of ML system in the aerospace domain. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_16740 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP Zouzou, Alya andéol, Léo Ducoffe, Mélanie Boumazouza, Ryma Computer Vision and Pattern Recognition Artificial Intelligence We explore the use of conformal prediction to provide statistical uncertainty guarantees for runway detection in vision-based landing systems (VLS). Using fine-tuned YOLOv5 and YOLOv6 models on aerial imagery, we apply conformal prediction to quantify localization reliability under user-defined risk levels. We also introduce Conformal mean Average Precision (C-mAP), a novel metric aligning object detection performance with conformal guarantees. Our results show that conformal prediction can improve the reliability of runway detection by quantifying uncertainty in a statistically sound way, increasing safety on-board and paving the way for certification of ML system in the aerospace domain. |
| title | Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2505.16740 |