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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Main Authors: Chen Hong Yun, Li Yan Qiang, Zhang Zi Hui, Wang Yong
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
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.
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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