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Asymmetrical Bi-RNNs (U-RNNs), 2nd place solution at the Trajnet++ Challenge for pedestrian trajectory forecasting

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https://hal-mines-paristech.archives-ouvertes.fr/hal-03244860
Contributor : Joseph Gesnouin <>
Submitted on : Friday, June 4, 2021 - 1:24:48 PM
Last modification on : Sunday, June 6, 2021 - 3:12:09 AM

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  • HAL Id : hal-03244860, version 1

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Raphaël Rozenberg, Joseph Gesnouin, Fabien Moutarde. Asymmetrical Bi-RNNs (U-RNNs), 2nd place solution at the Trajnet++ Challenge for pedestrian trajectory forecasting. Workshop on Long-term Human Motion Prediction, 2021 IEEE International Conference on Robotics and Automation (ICRA), May 2021, Xi'an, China. ⟨hal-03244860⟩

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