Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex Optimization

In this paper, we present a complete, flexible and safe convex-optimization-based method to solve speed planning problems over a fixed path for autonomous driving in both static and dynamic environments. Our contributions are five fold. First, we summarize the most common constraints raised in vario...

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Detalles Bibliográficos
Autores principales: Zhang, Yu, Chen, Huiyan, Waslander, Steven L., Yang, Tian, Zhang, Sheng, Xiong, Guangming, Liu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068623/
https://www.ncbi.nlm.nih.gov/pubmed/29986478
http://dx.doi.org/10.3390/s18072185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068623/
https://www.ncbi.nlm.nih.gov/pubmed/29986478
http://dx.doi.org/10.3390/s18072185

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