OctoPath: An OcTree-Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots

Autonomous mobile robots are usually faced with challenging situations when driving in complex environments. Namely, they have to recognize the static and dynamic obstacles, plan the driving path and execute their motion. For addressing the issue of perception and path planning, in this paper, we in...

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Detalles Bibliográficos
Autores principales: Trăsnea, Bogdan, Ginerică, Cosmin, Zaha, Mihai, Măceşanu, Gigel, Pozna, Claudiu, Grigorescu, Sorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196842/
https://www.ncbi.nlm.nih.gov/pubmed/34067237
http://dx.doi.org/10.3390/s21113606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196842/
https://www.ncbi.nlm.nih.gov/pubmed/34067237
http://dx.doi.org/10.3390/s21113606

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