Enhancing Vision-Based Perception in Autonomous Driving: YOLO11–DETR Integration with Selection Model
Vision-based object detection is a key component of autonomous driving perception systems; however, models pretrained on large-scale generic datasets usually struggles when implemented in automotive environments due to domain shift. This research introduces a comprehensive evaluation and fusion of Y...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2026-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acceso en liña: | https://isprs-archives.copernicus.org/articles/XLIX-B2-2026/1191/2026/isprs-archives-XLIX-B2-2026-1191-2026.pdf |
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