Multimodal Pedestrian Trajectory Prediction Based on Relative Interactive Spatial-Temporal Graph
Predicting and understanding pedestrian intentions is crucial for autonomous vehicles and mobile robots to navigate in a crowd. However, the movement of pedestrian is random. Pedestrian trajectory modeling needs to consider not only the past movement of pedestrians, the interaction between different...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9862988/ |