Interactive Lane Keeping System for Autonomous Vehicles Using LSTM-RNN Considering Driving Environments

This paper presents an interactive lane keeping model for an advanced driver assistant system and autonomous vehicle. The proposed model considers not only the lane markers but also the interaction with surrounding vehicles in determining steering inputs. The proposed algorithm is designed based on...

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Detalles Bibliográficos
Autor principal: Jeong, Yonghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782904/
https://www.ncbi.nlm.nih.gov/pubmed/36560257
http://dx.doi.org/10.3390/s22249889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782904/
https://www.ncbi.nlm.nih.gov/pubmed/36560257
http://dx.doi.org/10.3390/s22249889

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