Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features
IEEE In this work, we propose a novel approach for integrating rules into traffic agent trajectory prediction. Consideration of rules is important for understanding how people behave --- yet, it cannot be assumed that rules are always followed. To address this challenge, we evaluate different approa...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/135520 |