Pedestrian Trajectory Prediction Based on Transformer and Multi-relation Graph Convolutional Networks
In the field of autonomous navigation, pedestrian trajectories are relatively complex, and accurately predicting pedestrian trajectories is crucial for ensuring safe travel and autonomous driving. Pedestrian trajectories are highly random, dynamic, and influenced by their surroundings, necessitating...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2025-05-01
|
| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2405004.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|