Trajectory Prediction with Linguistic Representations
Language allows humans to build mental models that interpret what is happening around them resulting in more accurate long-term predictions. We present a novel trajectory prediction model that uses linguistic intermediate representations to forecast trajectories, and is trained using trajectory sam-...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Center for Brains, Minds and Machines (CBMM), International Conference on Robotics and Automation (ICRA)
2022
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| Online Access: | https://hdl.handle.net/1721.1/141362 |