Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm
In February 2020, Beijing, China andCalifornia, USA respectively released road test reports of 2019 for autonomous vehicles. Beijing and California respectively represent the highest level of testing and application of autonomous vehicles in the two countries. This article will compare the test item...
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Format: | Article |
Language: | English |
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EDP Sciences
2021-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03022.pdf |
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author | Chen Hong Yun Li Yan Qiang Zhang Zi Hui Wang Yong |
author_facet | Chen Hong Yun Li Yan Qiang Zhang Zi Hui Wang Yong |
author_sort | Chen Hong Yun |
collection | DOAJ |
description | In February 2020, Beijing, China andCalifornia, USA respectively released road test reports of 2019 for autonomous vehicles. Beijing and California respectively represent the highest level of testing and application of autonomous vehicles in the two countries. This article will compare the test items, evaluation criteria and technical defects of each autonomous vehicle company in the road test reports of China and the United States, also analyze the existing problems, and propose an idea for the construction of a comprehensive test site for autonomous vehicles. This article aims to solve the prominently exposed problems in decision-making and planning in autonomous vehicles with DQN algorithm-base vehicle fleet, and to look forward to the future development trend of autonomous driving testing. |
first_indexed | 2024-12-16T12:30:49Z |
format | Article |
id | doaj.art-6542deae9a6344c8a86e40319000001a |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-12-16T12:30:49Z |
publishDate | 2021-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-6542deae9a6344c8a86e40319000001a2022-12-21T22:31:42ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012530302210.1051/e3sconf/202125303022e3sconf_eem2021_03022Test Method for Decision Planning of Autonomous Vehicles Based on DQN AlgorithmChen Hong Yun0Li Yan Qiang1Zhang Zi Hui2Wang Yong3Shandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences)Shandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences)Shandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences)Shandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences)In February 2020, Beijing, China andCalifornia, USA respectively released road test reports of 2019 for autonomous vehicles. Beijing and California respectively represent the highest level of testing and application of autonomous vehicles in the two countries. This article will compare the test items, evaluation criteria and technical defects of each autonomous vehicle company in the road test reports of China and the United States, also analyze the existing problems, and propose an idea for the construction of a comprehensive test site for autonomous vehicles. This article aims to solve the prominently exposed problems in decision-making and planning in autonomous vehicles with DQN algorithm-base vehicle fleet, and to look forward to the future development trend of autonomous driving testing.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03022.pdf |
spellingShingle | Chen Hong Yun Li Yan Qiang Zhang Zi Hui Wang Yong Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm E3S Web of Conferences |
title | Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm |
title_full | Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm |
title_fullStr | Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm |
title_full_unstemmed | Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm |
title_short | Test Method for Decision Planning of Autonomous Vehicles Based on DQN Algorithm |
title_sort | test method for decision planning of autonomous vehicles based on dqn algorithm |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03022.pdf |
work_keys_str_mv | AT chenhongyun testmethodfordecisionplanningofautonomousvehiclesbasedondqnalgorithm AT liyanqiang testmethodfordecisionplanningofautonomousvehiclesbasedondqnalgorithm AT zhangzihui testmethodfordecisionplanningofautonomousvehiclesbasedondqnalgorithm AT wangyong testmethodfordecisionplanningofautonomousvehiclesbasedondqnalgorithm |