Trajectory Forecasting in the Modern Robotic Autonomy Stack: Methods, Integration, and Outlook

In this webinar, computational techniques for enabling self-driving cars to make predictions of the social world around them will be discussed, focusing on the rapidly-evolving field of trajectory forecasting. The webinar will feature three segments, beginning with a discussion about the problem of trajectory forecasting and methods for solving it. The second part of the webinar will discuss how, even with the ability to predict the future, it is still unclear how best to integrate such trajectory forecasting models within the autonomy stack. The webinar will conclude with a view towards the future, discussing potential advancements in trajectory forecasting in the presence of fleets of networked autonomous vehicles in diverse geographies.