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Attention Augmented ConvLSTM for Environment Prediction

Attention Augmented ConvLSTM for Environment Prediction

19 October 2020
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
ArXivPDFHTML

Papers citing "Attention Augmented ConvLSTM for Environment Prediction"

4 / 4 papers shown
Title
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid
  Maps
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
Rabbia Asghar
Wenqian Liu
Lukas Rummelhard
A. Spalanzani
Christian Laugier
25
0
0
22 Jul 2024
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
Zhanteng Xie
P. Dames
19
4
0
16 Oct 2022
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with
  Real-Time Application
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
59
148
0
09 May 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,816
0
13 Jun 2015
1