Robots That Can See: Leveraging Human Pose for Trajectory Prediction

Robots That Can See: Leveraging Human Pose for Trajectory Prediction

29 September 2023

Hao-Tien Lewis Chiang

Dorsa Sadigh

Carolina Parada

Alex Bewley

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Papers citing "Robots That Can See: Leveraging Human Pose for Trajectory Prediction"

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Title
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review Céline Finet Stephane Da Silva Martins J. Hayet Ioannis Karamouzas Javad Amirian S. L. Hégarat-Mascle J. Pettré Emanuel Aldea 15 0 0 13 Jun 2025
Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments Nico Uhlemann Yipeng Zhou Tobias Mohr Markus Lienkamp 139 1 0 10 Jan 2025
Map-Aware Human Pose Prediction for Robot Follow-Ahead Qingyuan Jiang Burak Susam Jun-Jee Chao Volkan Isler 137 0 0 20 Mar 2024
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot Fabien Baradel M. Armando Salma Galaaoui Romain Brégier Philippe Weinzaepfel Grégory Rogez Thomas Lucas 3DH 104 21 0 22 Feb 2024
Adaptive Human Trajectory Prediction via Latent Corridors Neerja Thakkar K. Mangalam Andrea V. Bajcsy Jitendra Malik 77 5 0 11 Dec 2023
The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized Tim Schreiter Tiago Rodrigues de Almeida Yufei Zhu Eduardo Gutiérrez-Maestro L. Morillo-Méndez ... Óscar Martínez Mozos Martin Magnusson Luigi Palmieri Kai O. Arras A. Lilienthal 95 18 0 31 Aug 2022
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach Boris Ivanovic Karen Leung Edward Schmerling Marco Pavone VGen DRL 64 99 0 10 Aug 2020