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Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms

文献类型:期刊论文

作者Lin, Lei4; Li, Weizi3; Bi, Huikun2; Qin, Lingqina1
刊名IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
出版日期2021-02-05
页码11
关键词Trajectory Predictive models Autonomous vehicles Data models Vehicle dynamics Training Spatiotemporal phenomena
ISSN号1939-1390
DOI10.1109/MITS.2021.3049404
资助项目University of Memphis
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000732065500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/17928]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Weizi
作者单位1.Univ Wisconsin, Madison, WI 53704 USA
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
3.Univ Memphis, Memphis, TN 38152 USA
4.Univ Rochester, Goergen Inst Data Sci, Rochester, NY 14627 USA
推荐引用方式
GB/T 7714
Lin, Lei,Li, Weizi,Bi, Huikun,et al. Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms[J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,2021:11.
APA Lin, Lei,Li, Weizi,Bi, Huikun,&Qin, Lingqina.(2021).Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms.IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,11.
MLA Lin, Lei,et al."Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms".IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2021):11.

入库方式: OAI收割

来源:计算技术研究所

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