178 citations · 458 across the 14 of their papers we have counts for
13 papers · 1 filter
LED: Light Enhanced Depth Estimation at Night
Simon de Moreau, Yasser Almehio, Andrei Bursuc +3
Nighttime camera-based depth estimation is a highly challenging task, especially for autonomous driving applications, where accurate depth perception is essential for ensuring safe…
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…
CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation
Arthur Moreau, Nathan Piasco, Moussab Bennehar +3
Beyond novel view synthesis, Neural Radiance Fields are useful for applications that interact with the real world. In this paper, we use them as an implicit map of a given scene an…
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…
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors
Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu +1
Pedestrian crossing prediction has been a topic of active research, resulting in many new algorithmic solutions. While measuring the overall progress of those solutions over time t…