Reverberation: Learning the Latencies Before Forecasting Trajectories

The article discusses the challenges of trajectory prediction, particularly in learning and predicting latencies, which are the temporal delays in agents' responses to trajectory-changing events. It highlights that different agents may have varying latency preferences, which can affect the accuracy of predictions. The authors propose a new reverberation transform and a corresponding model called Reverberation (Rev) that aims to simulate and predict these latency preferences, achieving competitive accuracy in trajectory forecasting.