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SLPC: a VRNN-based approach for stochastic lidar prediction and
  completion in autonomous driving

SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving

19 February 2021
George Eskandar
Alexander Braun
M. Meinke
Karim Armanious
Bin Yang
    3DV
ArXivPDFHTML

Papers citing "SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving"

3 / 3 papers shown
Title
Temporal Lidar Depth Completion
Temporal Lidar Depth Completion
Pietari Kaskela
Philipp Fischer
Timo Roman
3DV
36
0
0
17 Jun 2024
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous
  Driving
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving
George Eskandar
Sanjeev Sudarsan
Karim Guirguis
Janaranjani Palaniswamy
Bharath Somashekar
Bin Yang
13
6
0
08 Feb 2022
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
233
7,904
0
13 Jun 2015
1