Attention Augmented ConvLSTM for Environment Prediction

Attention Augmented ConvLSTM for Environment Prediction

19 October 2020

Mykel J. Kochenderfer

Papers citing "Attention Augmented ConvLSTM for Environment Prediction"

7 / 7 papers shown

Title
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps Rabbia Asghar Wenqian Liu Lukas Rummelhard A. Spalanzani Christian Laugier 36 0 0 22 Jul 2024
Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks Rabbia Asghar Lukas Rummelhard A. Spalanzani Christian Laugier 19 2 0 11 Jan 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 14 26 0 16 Nov 2022
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes Zhanteng Xie P. Dames 19 4 0 16 Oct 2022
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Hugues Thomas Jian Zhang Timothy D. Barfoot 3DPC 24 4 0 26 Aug 2022
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application Dominik Nuss Stephan Reuter Markus Thom Ting Yuan Gunther Krehl M. Maile Axel Gern Klaus C. J. Dietmayer 61 148 0 09 May 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015