MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan,Ahmed Hefny,Avikalp Srivastava,Khaled S. Refaat,Nigamaa Nayakanti,Andre Cornman,Kan Chen,Bertrand Douillard,Chi Pang Lam,Dragomir Anguelov,Benjamin Sapp,Balakrishnan Varadarajan,Ahmed Hefny,Avikalp Srivastava,Khaled S. Refaat,Nigamaa Nayakanti,Andre Cornman,Kan Chen,Bertrand Douillard,Chi Pang Lam,Dragomir Anguelov,Benjamin Sapp
Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this problem requires fusing heterogeneous world state in the form of rich perception signals and map information, and inferring highly multi-modal distributions over possible futures. In this paper, we present MultiPath++, a future prediction model th...
