Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Jean Mercat,Thomas Gilles,Nicole El Zoghby,Guillaume Sandou,Dominique Beauvois,Guillermo Pita Gil,Jean Mercat,Thomas Gilles,Nicole El Zoghby,Guillaume Sandou,Dominique Beauvois,Guillermo Pita Gil
This paper presents a novel vehicle motion forecasting method based on multi-head attention. It produces joint forecasts for all vehicles on a road scene as sequences of multi-modal probability density functions of their positions. Its architecture uses multi-head attention to account for interactions between all vehicles, and long short-term memory layers for encoding and forecasting. It relies s...
