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An Overview on Intelligent Vehicle Trajectory Prediction Based on Deep Learning
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Rongmiao Yang1, Guozong Zhang2
Automotive Digest | 2024, (2) : 1 - 9
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Automotive Digest | 2024, (2): 1-9
• Special Topic on Advanced Technologies Reviews of Chongqing Jiaotong University •
An Overview on Intelligent Vehicle Trajectory Prediction Based on Deep Learning
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Rongmiao Yang1, Guozong Zhang2
Affiliations
  • 1 School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074
  • 2 School of Mechanical Engineering, Sichuan University of Science & Engineering, Yibing 643002
Published: 2024-02-05 doi: 10.19822/j.cnki.1671-6329.20230085
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In order to fully understand the research methods and current status of deep learning-based trajectory prediction of intelligent vehicles, through the analysis and summary of existing literature, the input representation, output types, and prediction methods of deep learning-based trajectory prediction models are analyzed. The results show that trajectory prediction methods based on deep learning demonstrate outstanding performance in long-term, multi-modal motion and vehicle-road interaction scenarios.

Autonomous driving  /  Vehicle trajectory prediction  /  Deep learning  /  Complex driving scenarios
Rongmiao Yang, Guozong Zhang. An Overview on Intelligent Vehicle Trajectory Prediction Based on Deep Learning[J]. Automotive Digest, 2024 , (2) : 1 -9 . DOI: 10.19822/j.cnki.1671-6329.20230085
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doi: 10.19822/j.cnki.1671-6329.20230085
  • Online Date：2025-11-25
  • Published：2024-02-05
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    1 School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074
    2 School of Mechanical Engineering, Sichuan University of Science & Engineering, Yibing 643002
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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