Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
Edoardo Mello Rella,Jan-Nico Zaech,Alexander Liniger,Luc Van Gool,Edoardo Mello Rella,Jan-Nico Zaech,Alexander Liniger,Luc Van Gool
Forecasting the future behavior of all traffic agents in the vicinity is a key task to achieve safe and reliable autonomous driving systems. It is a challenging problem as agents adjust their behavior depending on their intentions, the others’ actions, and the road layout. In this paper, we propose Decoder Fusion RNN (DF-RNN), a recurrent, attention-based approach for motion forecasting. Our netwo...
