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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lei, Tingjun, Luo, Chaomin, Jan, Gene Eu, Bi, Zhuming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Robotics and AI
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

Internet

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

Ejemplares similares