A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology
- DOI
- 10.3390/s25237360
- Published
- 2025-12-03
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T00:26:30.892Z