SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction
© 2020 IEEE. The prediction of pedestrian motion is challenging, especially in crowded roads and intersections. Most of the current approaches apply offline methods to learn motion behaviors, but as a result, they are not able to learn continuously and typically do not generalize well to new environ...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE,
2021-10-28T15:41:39Z.
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| Subjects: | |
| Online Access: | Get fulltext |