Full
Outline
To address the problem that existing trajectory prediction models lack explicit modeling of driving intention and thus struggle to accurately predict diverse driving behaviors, this paper proposes a Goal-oriented Interactive Trajectory Forecasting with Dynamic Attention (GITF-DA). Employing a multi-head attention mechanism to extract temporal and spatial features of vehicles, a lightweight shifted attention module is introduced to capture key behavioural characteristics during social interactions. Combining Bidirectional Long Short-Term Memory (Bi-LSTM) network with Shifted Window Attention (SWA) for driving intent recognition, generating directional targets within a Conditional Variational Auto-Encoder (CVAE) module. Leveraging the diversity of generated targets to achieve multimodal trajectory prediction. The results indicate that in lateral and longitudinal intent recognition tasks, the proposed model achieved accuracies of 98.01% and 84.27% respectively, with Macro F1 scores of 81.81% and 81.61%. In trajectory prediction tasks, the model demonstrates low prediction error.
144
27
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
