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A Machine Learning Method for Vision-Based Unmanned Aerial Vehicle Systems to Understand Unknown Environments
What makes unmanned aerial vehicles (UAVs) intelligent is their capability of sensing and understanding new unknown environments. Some studies utilize computer vision algorithms like Visual Simultaneous Localization and Mapping (VSLAM) and Visual Odometry (VO) to sense the environment for pose estim...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308845/ https://www.ncbi.nlm.nih.gov/pubmed/32517309 http://dx.doi.org/10.3390/s20113245 |