4 citations · 5 across the 2 of their papers we have counts for
3 papers
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…