CPGAN adds a lateral-acceleration collision loss and Voronoi motion features to a GAN to lower collision rates in bidirectional crowd flows while reproducing lane formation and N-t curves.
Human trajectory forecasting with explainable behavioural uncertainty
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A review categorizing 2020-2025 deep learning methods for multi-agent human trajectory prediction by architecture, input representations, and strategies, with emphasis on ETH/UCY benchmark evaluations and future challenges.
citing papers explorer
-
Simulation of collision avoidance behavior in crowd movement by data-driven approach
CPGAN adds a lateral-acceleration collision loss and Voronoi motion features to a GAN to lower collision rates in bidirectional crowd flows while reproducing lane formation and N-t curves.
-
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
A review categorizing 2020-2025 deep learning methods for multi-agent human trajectory prediction by architecture, input representations, and strategies, with emphasis on ETH/UCY benchmark evaluations and future challenges.