An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments

This paper proposes an optimized trajectory planner and motion planner framework, which aim to deal with obstacle avoidance along a reference road for autonomous driving in unstructured environments. The trajectory planning problem is decomposed into lateral and longitudinal planning sub-tasks along...

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Detalles Bibliográficos
Autores principales: Xiong, Lu, Fu, Zhiqiang, Zeng, Dequan, Leng, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271740/
https://www.ncbi.nlm.nih.gov/pubmed/34199118
http://dx.doi.org/10.3390/s21134409

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271740/
https://www.ncbi.nlm.nih.gov/pubmed/34199118
http://dx.doi.org/10.3390/s21134409

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