Optimal Motion Planning in GPS-Denied Environments Using Nonlinear Model Predictive Horizon

Navigating robotic systems autonomously through unknown, dynamic and GPS-denied environments is a challenging task. One requirement of this is a path planner which provides safe trajectories in real-world conditions such as nonlinear vehicle dynamics, real-time computation requirements, complex 3D e...

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Detalles Bibliográficos
Autores principales: Younes, Younes Al, Barczyk, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402248/
https://www.ncbi.nlm.nih.gov/pubmed/34450989
http://dx.doi.org/10.3390/s21165547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402248/
https://www.ncbi.nlm.nih.gov/pubmed/34450989
http://dx.doi.org/10.3390/s21165547

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