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Predicting Future Spatiotemporal Occupancy Grids with Semantics for
  Autonomous Driving

Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving

3 October 2023
Maneekwan Toyungyernsub
Esen Yel
Jiachen Li
Mykel J. Kochenderfer
ArXivPDFHTML

Papers citing "Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving"

5 / 5 papers shown
Title
LOPR: Latent Occupancy PRediction using Generative Models
LOPR: Latent Occupancy PRediction using Generative Models
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
AI4CE
33
5
0
03 Oct 2022
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
Maneekwan Toyungyernsub
Esen Yel
Jiachen Li
Mykel J. Kochenderfer
58
18
0
27 Sep 2022
Attention Augmented ConvLSTM for Environment Prediction
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
65
21
0
19 Oct 2020
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