17 citations · 22 across the 3 of their papers we have counts for
5 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…
LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou +2
Neural Radiance Fields (NeRF) have recently demonstrated photo-realistic results for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis to th…
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…
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou +2
In this paper, we investigate visual-based camera re-localization with neural networks for robotics and autonomous vehicles applications. Our solution is a CNN-based algorithm whic…