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Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm
With the introduction of autonomy into the precision agriculture process, environmental exploration, disaster response, and other fields, one of the global demands is to navigate autonomous vehicles to completely cover entire unknown environments. In the previous complete coverage path planning (CCP...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980723/ https://www.ncbi.nlm.nih.gov/pubmed/35391941 http://dx.doi.org/10.3389/frobt.2022.843816 |