A Review of the Motion Planning and Control Methods for Automated Vehicles
The motion planning and control method of automated vehicles, as the key technology of automated vehicles, directly affects the safety, comfort, and other technical indicators of vehicles. The planning module is responsible for generating a vehicle driving path. The control module is responsible for...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347217/ https://www.ncbi.nlm.nih.gov/pubmed/37447989 http://dx.doi.org/10.3390/s23136140 |
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author | Song, Xiaohua Gao, Huihui Ding, Tian Gu, Yunfeng Liu, Jing Tian, Kun |
author_facet | Song, Xiaohua Gao, Huihui Ding, Tian Gu, Yunfeng Liu, Jing Tian, Kun |
author_sort | Song, Xiaohua |
collection | PubMed |
description | The motion planning and control method of automated vehicles, as the key technology of automated vehicles, directly affects the safety, comfort, and other technical indicators of vehicles. The planning module is responsible for generating a vehicle driving path. The control module is responsible for driving the vehicle. In this study, we review the main methods and achievements in motion planning and motion control for automated vehicles. The advantages and disadvantages of various planning and control methods are comparatively analyzed. Finally, some predictions and summaries based on the existing research results and trends are proposed. Through this analysis, it is believed that various types of algorithms will be further integrated in the future to complement each other’s strengths and weaknesses. The next area of research will be to establish more accurate vehicle models to describe vehicle motion, improve the generalization-solving ability of algorithms, and enhance the planning and control of integrated ‘human-vehicle-road’ traffic systems. |
format | Online Article Text |
id | pubmed-10347217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103472172023-07-15 A Review of the Motion Planning and Control Methods for Automated Vehicles Song, Xiaohua Gao, Huihui Ding, Tian Gu, Yunfeng Liu, Jing Tian, Kun Sensors (Basel) Review The motion planning and control method of automated vehicles, as the key technology of automated vehicles, directly affects the safety, comfort, and other technical indicators of vehicles. The planning module is responsible for generating a vehicle driving path. The control module is responsible for driving the vehicle. In this study, we review the main methods and achievements in motion planning and motion control for automated vehicles. The advantages and disadvantages of various planning and control methods are comparatively analyzed. Finally, some predictions and summaries based on the existing research results and trends are proposed. Through this analysis, it is believed that various types of algorithms will be further integrated in the future to complement each other’s strengths and weaknesses. The next area of research will be to establish more accurate vehicle models to describe vehicle motion, improve the generalization-solving ability of algorithms, and enhance the planning and control of integrated ‘human-vehicle-road’ traffic systems. MDPI 2023-07-04 /pmc/articles/PMC10347217/ /pubmed/37447989 http://dx.doi.org/10.3390/s23136140 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Song, Xiaohua Gao, Huihui Ding, Tian Gu, Yunfeng Liu, Jing Tian, Kun A Review of the Motion Planning and Control Methods for Automated Vehicles |
title | A Review of the Motion Planning and Control Methods for Automated Vehicles |
title_full | A Review of the Motion Planning and Control Methods for Automated Vehicles |
title_fullStr | A Review of the Motion Planning and Control Methods for Automated Vehicles |
title_full_unstemmed | A Review of the Motion Planning and Control Methods for Automated Vehicles |
title_short | A Review of the Motion Planning and Control Methods for Automated Vehicles |
title_sort | review of the motion planning and control methods for automated vehicles |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347217/ https://www.ncbi.nlm.nih.gov/pubmed/37447989 http://dx.doi.org/10.3390/s23136140 |
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