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Vehicle trajectory prediction model for multi-vehicle interaction scenario
更新时间：2025-05-26

    • Vehicle trajectory prediction model for multi-vehicle interaction scenario

    • “In the field of vehicle trajectory prediction, researchers have proposed the DIP-LSTM model, which achieves multi vehicle spatiotemporal relationship modeling through dynamic interactive perception pooling layers, significantly improving prediction accuracy and universality.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 5, Pages: 1188-1195(2024)
    • 作者机构：

      1.华南理工大学 土木与交通学院，广州 510640

      2.东南大学 现代城市交通技术江苏高校协同创新中心， 南京 210096

      3.人工智能与数字经济广东省实验室，广州 510330

    • DOI：10.13229/j.cnki.jdxbgxb.20220728    

      CLC： U495

    • Received：10 June 2022，

      Published：01 May 2024

    移动端阅览

  • HUANG Ling,CUI Zuan,YOU Feng,et al.Vehicle trajectory prediction model for multi-vehicle interaction scenario[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(05):1188-1195. DOI： 10.13229/j.cnki.jdxbgxb.20220728.

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