Sampling-Based Real-Time Motion Planning under State Uncertainty for Autonomous Micro-Aerial Vehicles in GPS-Denied Environments

This paper presents a real-time motion planning approach for autonomous vehicles with complex dynamics and state uncertainty. The approach is motivated by the motion planning problem for autonomous vehicles navigating in GPS-denied dynamic environments, which involves non-linear and/or non-holonomic...

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Detalles Bibliográficos
Autores principales: Li, Dachuan, Li, Qing, Cheng, Nong, Song, Jingyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279562/
https://www.ncbi.nlm.nih.gov/pubmed/25412217
http://dx.doi.org/10.3390/s141121791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279562/
https://www.ncbi.nlm.nih.gov/pubmed/25412217
http://dx.doi.org/10.3390/s141121791

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