PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
Alexey Kamenev,Lirui Wang,Ollin Boer Bohan,Ishwar Kulkarni,Bilal Kartal,Artem Molchanov,Stan Birchfield,David Nistér,Nikolai Smolyanskiy,Alexey Kamenev,Lirui Wang,Ollin Boer Bohan,Ishwar Kulkarni,Bilal Kartal,Artem Molchanov,Stan Birchfield,David Nistér,Nikolai Smolyanskiy
Predicting the future motion of traffic agents is crucial for safe and efficient autonomous driving. To this end, we present PredictionNet, a deep neural network (DNN) that predicts the motion of all surrounding traffic agents together with the ego-vehicle's motion. All predictions are probabilistic and are represented in a simple top-down rasterization that allows an arbitrary number of agents. C...
