End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost

Path planning plays an important role in navigation and motion planning for robotics and automated driving applications. Most existing methods use iterative frameworks to calculate and plan the optimal path from the starting point to the endpoint. Iterative planning algorithms can be slow on large m...

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Detalles Bibliográficos
Autores principales: Bian, Tongfei, Xing, Yang, Zolotas, Argyrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788420/
https://www.ncbi.nlm.nih.gov/pubmed/36560049
http://dx.doi.org/10.3390/s22249682

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788420/
https://www.ncbi.nlm.nih.gov/pubmed/36560049
http://dx.doi.org/10.3390/s22249682

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