A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology

Xiang Gu, Chao Li, Long Gao, Xuefen Niu

Open source

DOI
10.3390/s25237360
Published
2025-12-03
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s25237360,
  title = {A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology},
  author = {Xiang Gu and Chao Li and Long Gao and Xuefen Niu},
  year = {2025},
  journal = {Sensors},
  doi = {10.3390/s25237360},
  url = {https://doi.org/10.3390/s25237360}
}

RIS

TY  - JOUR
TI  - A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology
AU  - Xiang Gu
AU  - Chao Li
AU  - Long Gao
AU  - Xuefen Niu
PY  - 2025
JO  - Sensors
DO  - 10.3390/s25237360
UR  - https://doi.org/10.3390/s25237360
ER  - 

APA

Gu, X., Li, C., Gao, L., & Niu, X. (2025). A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology. Sensors. https://doi.org/10.3390/s25237360

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