SMEMO: Social Memory for Trajectory Forecasting

03/23/2022
by   Francesco Marchetti, et al.
0

Effective modeling of human interactions is of utmost importance when forecasting behaviors such as future trajectories. Each individual, with its motion, influences surrounding agents since everyone obeys to social non-written rules such as collision avoidance or group following. In this paper we model such interactions, which constantly evolve through time, by looking at the problem from an algorithmic point of view, i.e. as a data manipulation task. We present a neural network based on an end-to-end trainable working memory, which acts as an external storage where information about each agent can be continuously written, updated and recalled. We show that our method is capable of learning explainable cause-effect relationships between motions of different agents, obtaining state-of-the-art results on multiple trajectory forecasting datasets.

READ FULL TEXT

page 10

page 13

research
03/06/2020

Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

Multi-agent trajectory forecasting in autonomous driving requires an age...
research
12/16/2022

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving

We propose JFP, a Joint Future Prediction model that can learn to genera...
research
05/27/2020

Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene

Trajectory forecasting, or trajectory prediction, of multiple interactin...
research
05/26/2020

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting

Understanding human motion behaviour is a critical task for several poss...
research
06/05/2020

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

Autonomous vehicles are expected to drive in complex scenarios with seve...
research
03/22/2022

Under the Hood of Transformer Networks for Trajectory Forecasting

Transformer Networks have established themselves as the de-facto state-o...
research
02/03/2022

Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding

Trajectory forecasting is critical for autonomous platforms to make safe...

Please sign up or login with your details

Forgot password? Click here to reset