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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
[article]
2020
arXiv
pre-print
This paper studies the problem of predicting the distribution over multiple possible future paths of people as they move through various visual scenes. We make two main contributions. The first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajectory data, and then extrapolated by human annotators to achieve different latent goals. This provides the first benchmark for quantitative evaluation of the models to predict multi-future trajectories.
arXiv:1912.06445v3
fatcat:luumpu6qmfeptndjdxqsexfkve