A Cross-Dimensional Attention Mechanism for Pedestrian Trajectory Forecasting
Forecasting pedestrian trajectories is crucial for autonomous driving systems but remains challenging due to complex spatial and temporal interactions. Most existing methods model these interactions separately; for example, they capture temporal features and then pass this information to a spatial i...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11026008/ |
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