Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti,Rami Al-Rfou,Aurick Zhou,Kratarth Goel,Khaled S. Refaat,Benjamin Sapp,Nigamaa Nayakanti,Rami Al-Rfou,Aurick Zhou,Kratarth Goel,Khaled S. Refaat,Benjamin Sapp
Motion forecasting for autonomous driving is a challenging task because complex driving scenarios involve a heterogeneous mix of static and dynamic inputs. It is an open problem how best to represent and fuse information about road geometry, lane connectivity, time-varying traffic light state, and history of a dynamic set of agents and their interactions into an effective encoding. To model this d...
