TRAJECTORY PREDICTION FOR AUTONOMOUS DRIVING

Summary from the TLDR AI newsletter

DGFNet is a new approach for predicting the trajectories of multiple traffic participants in autonomous driving. It enhances predictions by considering the difficulty differences among agents, capturing rich spatio-temporal features, and using a difficulty-guided decoder.