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Uncertainty depth estimation with gated images for 3D reconstruction

Uncertainty depth estimation with gated images for 3D reconstruction

11 March 2020
Stefanie Walz
Tobias Gruber
W. Ritter
Klaus C. J. Dietmayer
    3DV
ArXivPDFHTML

Papers citing "Uncertainty depth estimation with gated images for 3D reconstruction"

18 / 18 papers shown
Title
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight
  Technologies
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies
Radu Horaud
M. Hansard
Georgios D. Evangelidis
C. Ménier
49
259
0
12 Dec 2020
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
Mario Bijelic
Tobias Gruber
W. Ritter
44
170
0
06 Dec 2019
Benchmarking Image Sensors Under Adverse Weather Conditions for
  Autonomous Driving
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving
Mario Bijelic
Tobias Gruber
W. Ritter
32
79
0
06 Dec 2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Tobias Gruber
Mario Bijelic
Felix Heide
W. Ritter
Klaus C. J. Dietmayer
MDE
3DV
92
29
0
21 Jun 2019
Uncertainty Estimation in One-Stage Object Detection
Uncertainty Estimation in One-Stage Object Detection
Florian Kraus
Klaus C. J. Dietmayer
UQCV
54
83
0
24 May 2019
Learning Single Camera Depth Estimation using Dual-Pixels
Learning Single Camera Depth Estimation using Dual-Pixels
Rahul Garg
Neal Wadhwa
S. Ansari
Jonathan T. Barron
MDE
51
110
0
11 Apr 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization
  Uncertainty for Autonomous Driving
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi
Dayoung Chun
Hyun Kim
Hyuk-Jae Lee
69
399
0
09 Apr 2019
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Wouter Van Gansbeke
D. Neven
Bert De Brabandere
Luc Van Gool
3DV
59
251
0
14 Feb 2019
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time
  LiDAR 3D Object Detection
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
Di Feng
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
3DPC
59
69
0
14 Sep 2018
On the Importance of Stereo for Accurate Depth Estimation: An Efficient
  Semi-Supervised Deep Neural Network Approach
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy
A. Kamenev
Stan Birchfield
MDE
97
95
0
26 Mar 2018
Pyramid Stereo Matching Network
Pyramid Stereo Matching Network
Jia-Ren Chang
Yonghao Chen
3DPC
114
1,506
0
23 Mar 2018
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single
  Image
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Fangchang Ma
S. Karaman
MDE
3DV
78
587
0
21 Sep 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
124
826
0
22 Aug 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
252
3,122
0
19 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
332
4,700
0
15 Mar 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov
J. Stückler
Bastian Leibe
MDE
SSL
131
669
0
09 Feb 2017
Modelling Uncertainty in Deep Learning for Camera Relocalization
Modelling Uncertainty in Deep Learning for Camera Relocalization
Alex Kendall
R. Cipolla
BDL
45
540
0
19 Sep 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
748
0
06 Jun 2015
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