4 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction
Yunong Wu, Thomas Gilles, Bogdan Stanciulescu +1
Predicting future motions of nearby agents is essential for an autonomous vehicle to take safe and effective actions. In this paper, we propose TSGN, a framework using Temporal Sce…
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo, Thomas Gilles, Stefano Sabatini +1
Inspired by recent developments regarding the application of self-supervised learning (SSL), we devise an auxiliary task for trajectory prediction that takes advantage of map-only…
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou +2
In this paper, we propose GOHOME, a method leveraging graph representations of the High Definition Map and sparse projections to generate a heatmap output representing the future p…
HOME: Heatmap Output for future Motion Estimation
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou +2
In this paper, we propose HOME, a framework tackling the motion forecasting problem with an image output representing the probability distribution of the agent's future location. T…