ARP-STGCN: a fast attraction–repulsion-potential based spatio-temporal graph convolutional network with imputation for pedestrian trajectory prediction
Abstract Pedestrian trajectory prediction is a critical task in autonomous systems and smart city applications, where predicting the future movement of pedestrians based on observed data is essential for decision-making. In this work, we propose ARP-STGCN, a novel approach that simultaneously addres...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Springer
2025-10-01
|
| سلاسل: | Complex & Intelligent Systems |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/s40747-025-02068-4 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|