Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange,Masha Itkina,Mykel J. Kochenderfer,Bernard Lange,Masha Itkina,Mykel J. Kochenderfer
Safe and proactive planning in robotic systems generally requires accurate predictions of the environment. Prior work on environment prediction applied video frame prediction techniques to bird’s-eye view environment representations, such as occupancy grids. ConvLSTM-based frameworks used previously often result in significant blurring of the predictions, loss of static environment structure, and ...
