Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Vadarajan Benjamin Sapp Dragomir Anguelov Ekaterina Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Vadarajan Benjamin Sapp Dragomir Anguelov
Interactive driving scenarios, such as lane changes, merges and unprotected turns, are some of the most challenging situations for autonomous driving. Planning in interactive scenarios requires accurately modeling the reactions of other agents to different future actions of the ego agent. We develop end-to-end models for conditional behavior prediction (CBP) that take as an input a query future tr...