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Algorithm Research & Explore
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1080-1084

Trajectory prediction method based on motion state

Gu Yifan
Mo Lei
School of Automation, Southeast University, Nanjing 210096, China

Abstract

Aiming at the problem of inaccurate vehicle prediction trajectory caused by ignoring the vehicle motion state, this paper proposed a trajectory prediction model based on the motion state named Movement-DenseTNT. Firstly, the trajectory information and map information of traffic participants were encoded using the graph neural network method. Secondly, it used LSTM to extract the motion state information of the vehicle. Then, it fused the scene coding information with the set of candidate trajectory endpoints sampled in the drivable area through the attention mechanism, so as to obtain the probability value of each candidate trajectory endpoint. Finally, by filtering out the final trajectory endpoint and completing the trajectory, it obtained an accurate trajectory. The model was compared with nine baseline models on two benchmark datasets. The experimental results show that the Movement-DenseTNT model is superior to the baseline model in four commonly used metrics. It verifies that adding vehicle motion states can effectively improve the accuracy of vehicle trajectory prediction.

Foundation Support

江苏省自然科学基金面上项目(SBK20242028)
国家重点研发青年科学家资助项目(2022YFF0902800)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0295
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Algorithm Research & Explore
Pages: 1080-1084
Serial Number: 1001-3695(2025)04-015-1080-05

Publish History

[2025-04-05] Printed Article

Cite This Article

顾一凡, 莫磊. 一种基于运动状态的轨迹预测方法 [J]. 计算机应用研究, 2025, 42 (4): 1080-1084. (Gu Yifan, Mo Lei. Trajectory prediction method based on motion state [J]. Application Research of Computers, 2025, 42 (4): 1080-1084. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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