Long-term Human Motion Prediction Workshop


The final program of the workshop includes 10 papers. During the workshop, these papers will be presented as A0 posters in vertical format.

Number Authors Title
1 Nils Mandischer (RWTH Aachen University); Frederik Schicks (RWTH Aachen University); Burkhard Corves (IGMR, RWTH Aachen University) Situational Adaptive Motion Prediction for Firefighting Squads in Indoor Search and Rescue [paper]
2 Anna Mészáros (Delft University of Technology); Javier Alonso-Mora (Delft University of Technology); Jens Kober (TU Delft) TrajFlow: Learning the Distribution over Trajectories [paper]
3 Mincheul Kim (Korea Advanced Institute of Science and Technology (KAIST)); Youngsun Kwon (Electronics and Telecommunications Research Institute (ETRI)); Sebin Lee (KAIST); Sungeui Yoon (KAIST) A Combined Approach to Mobile Robot Navigation Using CCTV [paper]
4 Oliver Urbann (Fraunhofer IML); Oliver Bredtmann (DB Schenker); Maximilian Otten (Fraunhofer IML); Jan-Philip Richter (Fraunhofer IML); Thilo Bauer (DB Schenker); David Zibriczky (DB Schenker) Online and Real-Time Tracking in a Surveillance Scenario [paper]
5 Tim Salzmann (Technical University of Munich); Lewis Chiang; Markus Ryll (Technical University of Munich); Dorsa Sadigh (Stanford); Carolina Parada (Google); Alex Bewley (Google) Human Scene Transformer [paper]
6 Divya Thuremella (University of Oxford); Lars Kunze (University of Oxford) Evaluating Long-Tailed Learning Techniques on Pedestrian Trajectory Prediction [paper]
7 Sander Tonkens (University of California San Diego); Sophia H Sun (University of California, San Diego); Rose Yu (University of California, San Diego); Sylvia Herbert (University of California San Diego) Scalable Safe Long-Horizon Planning in Dynamic Environments Leveraging Conformal Prediction and Temporal Correlations [paper]
8 Tomas Vintr (Faculty of Electrical Engineering, Czech Technical University in Prague) Dataset Collection for Long-term Forecasting of Human Presence, Motion and Activity [paper]
9 Anthony Knittel (FiveAI); Morris Antonello (FiveAI); John Redford (Five AI Ltd.); Subramanian Ramamoorthy (FiveAI Ltd.) Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving [paper]
10 Yufei Zhu (Örebro University); Andrey Rudenko (Bosch Corporate Research); Tomasz Piotr Kucner (Aalto University); Achim Lilienthal (Orebro University); Martin Magnusson (Orebro University) A Data-Efficient Approach for Long-Term Human Motion Prediction Using Maps of Dynamics [paper]