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Proceedings of the 31st International Workshop on Intelligent Computing in Engineering
Drone-based visual inspection has emerged as a crucial manner for infrastructure inspection, owing to its mobility and potential for automated perception. However, from the perspective of human-agent interaction, the predominant modes in this field currently involve either full-process human intervention or end-to-end execution based on deep learning. The former constrains the level of automation, while the latter overlooks considerations of interactivity and
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| Edition number | 1ª Edición |
| License | Creative Commons Attribution 4.0 International (CC BY 4.0) |
| Publication language | Inglés |
| Resource type | |
| Usage rights | openAccess |
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| On UNEBOOK | |
| Open access publication date | 2024-12-20 |
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