The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

12/13/2019
by   Junwei Liang, et al.
32

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. The second contribution is a new model to generate multiple plausible future trajectories, which contains novel designs of using multi-scale location encodings and convolutional RNNs over graphs. We refer to our model as Multiverse. We show that our model achieves the best results on our dataset, as well as on the real-world VIRAT/ActEV dataset (which just contains one possible future). We will release our data, models and code.

READ FULL TEXT

page 1

page 3

page 5

page 8

research
02/11/2019

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Deciphering human behaviors to predict their future paths/trajectories a...
research
05/23/2019

Scene Induced Multi-Modal Trajectory Forecasting via Planning

We address multi-modal trajectory forecasting of agents in unknown scene...
research
01/03/2020

Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

In this paper, we address the problem of forecasting agent trajectories ...
research
11/23/2016

T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction

Precise destination prediction of taxi trajectories can benefit many int...
research
06/12/2017

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

With the goal of making high-resolution forecasts of regional rainfall, ...
research
11/12/2021

MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed

Tasks are a fundamental unit of work in the daily lives of people, who a...
research
01/20/2021

Bayesian GARCH Modeling of Functional Sports Data

The use of statistical methods in sport analytics has gained a rapidly g...

Please sign up or login with your details

Forgot password? Click here to reset