Multimodal Trajectory Predictions for Urban Environments Using Geometric Relationships between a Vehicle and Lanes
Atsushi Kawasaki,Akihito Seki,Atsushi Kawasaki,Akihito Seki
Implementation of safe and efficient autonomous driving systems requires accurate prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic behavior makes it difficult to predict trajectories in urban environments, which have various road geometries. To over-come this problem, we propose a method called lane-based multimodal prediction network (LAMP-Net), which ...
