59 citations · 112 across the 26 of their papers we have counts for
4 papers · 1 filter
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…
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle, Stefano Sabatini, Dzmitry Tsishkou +1
Traffic simulation has gained a lot of interest for quantitative evaluation of self driving vehicles performance. In order for a simulator to be a valuable test bench, it is requir…
Uncertainty estimation for Cross-dataset performance in Trajectory prediction
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou +2
While a lot of work has been carried on developing trajectory prediction methods, and various datasets have been proposed for benchmarking this task, little study has been done so…
ImPosing: Implicit Pose Encoding for Efficient Visual Localization
Arthur Moreau, Thomas Gilles, Nathan Piasco +3
We propose a novel learning-based formulation for visual localization of vehicles that can operate in real-time in city-scale environments. Visual localization algorithms determine…