Air2Land: A deep learning dataset for unmanned aerial vehicle autolanding from air to land
Abstract In this paper, a novel deep learning dataset, called Air2Land, is presented for advancing the state‐of‐the‐art object detection and pose estimation in the context of one fixed‐wing unmanned aerial vehicle autolanding scenarios. It bridges vision and control for ground‐based vision guidance...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | IET Cyber-systems and Robotics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/csy2.12045 |