A horizon line annotation tool for streamlining autonomous sea navigation experiments
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866911805056483328 |
|---|---|
| author | Zardoua, Yassir Wahabi, Abdelhamid El Boulaala, Mohammed Astito, Abdelali |
| author_facet | Zardoua, Yassir Wahabi, Abdelhamid El Boulaala, Mohammed Astito, Abdelali |
| contents | Horizon line (or sea line) detection (HLD) is a critical component in multiple marine autonomous navigation tasks, such as identifying the navigation area (i.e., the sea), obstacle detection and geo-localization, and digital video stabilization. A recent survey highlighted several weaknesses of such detectors, particularly on sea conditions lacking from the most extensive dataset currently used by HLD researchers. Experimental validation of more robust HLDs involves collecting an extensive set of these lacking sea conditions and annotating each collected image with the correct position and orientation of the horizon line. The annotation task is daunting without a proper tool. Therefore, we present the first public annotation software with tailored features to make the sea line annotation process fast and easy. The software is available at: https://drive.google.com/drive/folders/1c0ZmvYDckuQCPIWfh_70P7E1A_DWlIvF?usp=sharing |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_05262 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A horizon line annotation tool for streamlining autonomous sea navigation experiments Zardoua, Yassir Wahabi, Abdelhamid El Boulaala, Mohammed Astito, Abdelali Computer Vision and Pattern Recognition Horizon line (or sea line) detection (HLD) is a critical component in multiple marine autonomous navigation tasks, such as identifying the navigation area (i.e., the sea), obstacle detection and geo-localization, and digital video stabilization. A recent survey highlighted several weaknesses of such detectors, particularly on sea conditions lacking from the most extensive dataset currently used by HLD researchers. Experimental validation of more robust HLDs involves collecting an extensive set of these lacking sea conditions and annotating each collected image with the correct position and orientation of the horizon line. The annotation task is daunting without a proper tool. Therefore, we present the first public annotation software with tailored features to make the sea line annotation process fast and easy. The software is available at: https://drive.google.com/drive/folders/1c0ZmvYDckuQCPIWfh_70P7E1A_DWlIvF?usp=sharing |
| title | A horizon line annotation tool for streamlining autonomous sea navigation experiments |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2309.05262 |