中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on Lane-Change Strategy With Real-Time Obstacle Avoidance Function

文献类型:期刊论文

作者Wu, Qiong1,5; Liu, Wu-Dong4; Guo, Shi-Yong2; Cheng, Shuo3; Li, Shao-Jie3; Liang, Hua-Wei5; Liu, Zi-Jun3
刊名IEEE ACCESS
出版日期2020
卷号8
关键词Lane change obstacle avoidance path planning control mode matrix
ISSN号2169-3536
DOI10.1109/ACCESS.2020.3037103
通讯作者Liang, Hua-Wei(hwliang@iim.ac.cn)
英文摘要Lane changing (LC) is the basic maneuver of a variety of lateral control scenes such as overtaking, paralleling, collision avoidance, etc. The surrounding vehicle may drive into the planned path during the ego-vehicle's LC maneuver, the ego-vehicle could only stop or fail to respond in time. Aiming to tackle this issue, this article proposes a LC strategy with real-time obstacle avoidance function. Firstly, the common LC strategy adopts the single planning and real-time tracking framework, which cannot handle emergent situations during the LC maneuver. This article proposes a new framework of real-time planning and real-time tracking for obstacle avoidance in the process of the LC. Secondly, this article constructs a two-layer judgment condition and control mode matrix for the two obstacle avoidance conditions of current-lane preceding-vehicle lane-change (CPC) and target-lane preceding-vehicle deceleration (TPD). Finally, experiments and simulations demonstrate the effectiveness of the proposed algorithm.
WOS关键词MODEL ; DECISION
资助项目Key Scientific and Technological Research Project in Anhui Province[JAC2019022505] ; National Science Fund of the People's Republic of China[51675293]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000596370500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Key Scientific and Technological Research Project in Anhui Province ; National Science Fund of the People's Republic of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/105502]  
专题中国科学院合肥物质科学研究院
通讯作者Liang, Hua-Wei
作者单位1.Univ Sci & Technol, Hefei 230026, Peoples R China
2.Qingdao Univ Technol, Sch Mech & Automot Engn, Qingdao 266061, Peoples R China
3.Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
4.Yanshan Univ, Sch Mech Engn, Qinhuangdao 066004, Hebei, Peoples R China
5.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230088, Peoples R China
推荐引用方式
GB/T 7714
Wu, Qiong,Liu, Wu-Dong,Guo, Shi-Yong,et al. Research on Lane-Change Strategy With Real-Time Obstacle Avoidance Function[J]. IEEE ACCESS,2020,8.
APA Wu, Qiong.,Liu, Wu-Dong.,Guo, Shi-Yong.,Cheng, Shuo.,Li, Shao-Jie.,...&Liu, Zi-Jun.(2020).Research on Lane-Change Strategy With Real-Time Obstacle Avoidance Function.IEEE ACCESS,8.
MLA Wu, Qiong,et al."Research on Lane-Change Strategy With Real-Time Obstacle Avoidance Function".IEEE ACCESS 8(2020).

入库方式: OAI收割

来源:合肥物质科学研究院

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