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Simulation-based Lidar Super-resolution for Ground Vehicles

Simulation-based Lidar Super-resolution for Ground Vehicles

10 April 2020
Tixiao Shan
Jinkun Wang
Fanfei Chen
Paul Szenher
Brendan Englot
    3DPC
ArXivPDFHTML

Papers citing "Simulation-based Lidar Super-resolution for Ground Vehicles"

6 / 6 papers shown
Title
TULIP: Transformer for Upsampling of LiDAR Point Clouds
TULIP: Transformer for Upsampling of LiDAR Point Clouds
Bin Yang
Patrick Pfreundschuh
Roland Siegwart
Marco Hutter
Peyman Moghadam
Vaishakh Patil
3DPC
26
6
0
11 Dec 2023
Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight
  Prediction
Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction
Youngsun Kwon
Minhyuk Sung
Sung-eui Yoon
SupR
31
26
0
12 Mar 2022
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
A Survey on Deep Domain Adaptation for LiDAR Perception
A Survey on Deep Domain Adaptation for LiDAR Perception
Larissa T. Triess
M. Dreissig
Christoph B. Rist
J. Marius Zöllner
45
66
0
04 Jun 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
216
5,176
0
16 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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