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Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural
  Network For Lidar 3D Vehicle Detection

Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection

13 April 2018
Di Feng
Lars Rosenbaum
Klaus C. J. Dietmayer
    3DPC
    UQCV
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Papers citing "Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection"

50 / 122 papers shown
Title
Comparative study of 3D object detection frameworks based on LiDAR data
  and sensor fusion techniques
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques
Sreenivasa Hikkal Venugopala
3DPC
14
4
0
05 Feb 2022
Probabilistic Approach for Road-Users Detection
Probabilistic Approach for Road-Users Detection
Gledson Melotti
Weihao Lu
Pedro Conde
Dezong Zhao
A. Asvadi
Nuno Gonçalves
C. Premebida
27
2
0
02 Dec 2021
False Positive Detection and Prediction Quality Estimation for LiDAR
  Point Cloud Segmentation
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation
Pascal Colling
Matthias Rottmann
L. Roese-Koerner
Hanno Gottschalk
3DPC
30
3
0
29 Oct 2021
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Ulrich Neumann
G. Wang
Ya Zhang
Siheng Chen
13
24
0
26 Oct 2021
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis --
  and What to Use Instead
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead
Kamil Szyc
T. Walkowiak
H. Maciejewski
OODD
24
0
0
13 Oct 2021
Dropout Prediction Uncertainty Estimation Using Neuron Activation
  Strength
Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength
Haichao Yu
Zhe Chen
Dong Lin
G. Shamir
Jie Han
UQCV
32
0
0
13 Oct 2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection
CertainNet: Sampling-free Uncertainty Estimation for Object Detection
Stefano Gasperini
Johannes Haug
M. N. Mahani
Alvaro Marcos-Ramiro
Nassir Navab
Benjamin Busam
F. Tombari
UQCV
23
24
0
04 Oct 2021
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic
  Aleatoric Uncertainty Modeling
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling
N. Khanzhina
Alexey Lapenok
Andrey Filchenkov
UQCV
28
3
0
02 Aug 2021
Prediction Surface Uncertainty Quantification in Object Detection Models
  for Autonomous Driving
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
Ferhat Ozgur Catak
T. Yue
Shaukat Ali
25
21
0
11 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
59
1,111
0
07 Jul 2021
Giving Commands to a Self-Driving Car: How to Deal with Uncertain
  Situations?
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?
Thierry Deruyttere
Victor Milewski
Marie-Francine Moens
30
15
0
08 Jun 2021
AI perspectives in Smart Cities and Communities to enable road vehicle
  automation and smart traffic control
AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
Cristofer Englund
E. Aksoy
F. Alonso-Fernandez
Martin Cooney
Sepideh Pashami
B. Åstrand
22
40
0
07 Apr 2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Dimity Miller
Niko Sünderhauf
Michael Milford
Feras Dayoub
EDL
31
48
0
03 Apr 2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active Learning for Deep Object Detection via Probabilistic Modeling
Jiwoong Choi
Ismail Elezi
Hyuk-Jae Lee
C. Farabet
J. Álvarez
30
121
0
30 Mar 2021
A Review of Testing Object-Based Environment Perception for Safe
  Automated Driving
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Michael Hoss
Maike Scholtes
L. Eckstein
33
48
0
16 Feb 2021
Fast and Reliable Probabilistic Face Embeddings in the Wild
Fast and Reliable Probabilistic Face Embeddings in the Wild
Kai Chen
Qi Lv
Taihe Yi
CVBM
25
5
0
08 Feb 2021
From a Point Cloud to a Simulation Model: Bayesian Segmentation and
  Entropy based Uncertainty Estimation for 3D Modelling
From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
Christina Petschnigg
Markus Spitzner
Lucas Weitzendorf
J. Pilz
3DPC
3DV
23
3
0
04 Feb 2021
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented
  Object Detection in Remote Sensing Images
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Qi Ming
Lingjuan Miao
Z. Zhou
Yunpeng Dong
ObjD
106
176
0
18 Jan 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep
  Object Detectors
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh
Steven L. Waslander
UQCV
19
41
0
13 Jan 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
32
51
0
05 Jan 2021
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object
  Detection
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
Di Feng
Zining Wang
Yiyang Zhou
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
Masayoshi Tomizuka
Wei Zhan
17
22
0
18 Dec 2020
Uncertainty Estimation in Deep Neural Networks for Point Cloud
  Segmentation in Factory Planning
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning
Christina Petschnigg
Juergen Pilz
UQCV
3DPC
16
7
0
13 Dec 2020
Accurate 3D Object Detection using Energy-Based Models
Accurate 3D Object Detection using Energy-Based Models
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
3DPC
38
10
0
08 Dec 2020
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming
Z. Zhou
Lingjuan Miao
Hongwei Zhang
Linhao Li
ObjD
155
285
0
08 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
223
0
20 Nov 2020
Feature Sharing and Integration for Cooperative Cognition and Perception
  with Volumetric Sensors
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
Ehsan Emad Marvasti
Arash Raftari
Amir Emad Marvasti
Y. P. Fallah
Rui Guo
Hongsheng Lu
24
12
0
16 Nov 2020
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object
  Detection
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection
Ehsan Emad Marvasti
Arash Raftari
Amir Emad Marvasti
Y. P. Fallah
20
9
0
22 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates
  for Object Detection
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection
Marius Schubert
Karsten Kahl
Matthias Rottmann
UQCV
26
24
0
04 Oct 2020
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
31
46
0
01 Sep 2020
Driving Through Ghosts: Behavioral Cloning with False Positives
Driving Through Ghosts: Behavioral Cloning with False Positives
Andreas Buhler
Adrien Gaidon
Andrei Cramariuc
Rares Andrei Ambrus
Guy Rosman
Wolfram Burgard
13
17
0
29 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural
  Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
Julia Lust
A. P. Condurache
UQCV
AAML
AI4CE
29
7
0
21 Aug 2020
Labels Are Not Perfect: Improving Probabilistic Object Detection via
  Label Uncertainty
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
Di Feng
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
UQCV
16
6
0
10 Aug 2020
Real-Time Uncertainty Estimation in Computer Vision via
  Uncertainty-Aware Distribution Distillation
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
Yichen Shen
Zhilu Zhang
M. Sabuncu
Lin Sun
UQCV
29
3
0
31 Jul 2020
Single Shot MC Dropout Approximation
Single Shot MC Dropout Approximation
K. Brach
Beate Sick
Oliver Durr
UQCV
BDL
17
18
0
07 Jul 2020
A Comparison of Uncertainty Estimation Approaches in Deep Learning
  Components for Autonomous Vehicle Applications
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
F. Arnez
H. Espinoza
A. Radermacher
Franccois Terrier
UQCV
30
29
0
26 Jun 2020
Towards Better Performance and More Explainable Uncertainty for 3D
  Object Detection of Autonomous Vehicles
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles
Hujie Pan
Zining Wang
Wei Zhan
Masayoshi Tomizuka
UQCV
3DPC
28
27
0
22 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
37
437
0
17 Jun 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with
  Bayesian Approximation in Segmentation
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation
Hong Joo Lee
S. T. Kim
Hakmin Lee
Nassir Navab
Yong Man Ro
UQCV
16
7
0
21 May 2020
Efficient Computation Reduction in Bayesian Neural Networks Through
  Feature Decomposition and Memorization
Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
Xiaotao Jia
Jianlei Yang
Runze Liu
Xueyan Wang
S. Cotofana
Weisheng Zhao
21
26
0
08 May 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and
  Visibility Likelihood
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
Abhinav Kumar
Tim K. Marks
Wenxuan Mou
Ye Wang
Michael J. Jones
A. Cherian
T. Koike-Akino
Xiaoming Liu
Chen Feng
CVBM
3DV
19
150
0
06 Apr 2020
Anomaly Detection in Video Data Based on Probabilistic Latent Space
  Models
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Giulia Slavic
Damian Campo
Mohamad Baydoun
P. Marín
David Martín
L. Marcenaro
C. Regazzoni
DRL
27
13
0
17 Mar 2020
Uncertainty depth estimation with gated images for 3D reconstruction
Uncertainty depth estimation with gated images for 3D reconstruction
Stefanie Walz
Tobias Gruber
W. Ritter
Klaus C. J. Dietmayer
3DV
25
17
0
11 Mar 2020
Inferring Spatial Uncertainty in Object Detection
Inferring Spatial Uncertainty in Object Detection
Zining Wang
Di Feng
Yiyang Zhou
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
Masayoshi Tomizuka
Wei Zhan
16
27
0
07 Mar 2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity
  Sampling
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling
Kirill Fedyanin
Evgenii Tsymbalov
Maxim Panov
UQCV
19
7
0
06 Mar 2020
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial
  Relationships
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Yongjiang Chen
L. Tai
Kai-Lung Sun
Mingyang Li
3DPC
24
260
0
01 Mar 2020
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
Ehsan Emad Marvasti
Arash Raftari
Amir Emad Marvasti
Y. P. Fallah
Rui Guo
Hongsheng Lu
10
41
0
19 Feb 2020
Leveraging Uncertainties for Deep Multi-modal Object Detection in
  Autonomous Driving
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving
Di Feng
Yifan Cao
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
UQCV
3DPC
23
23
0
01 Feb 2020
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional
  Auto-Encoder for Interest Point Detection and Feature Description
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Deyu Yin
Qian Zhang
Jingbin Liu
Xinlian Liang
Yunshen Wang
Jyri Maanpää
Hao Ma
Juha Hyyppa
Ruizhi Chen
3DPC
33
21
0
06 Jan 2020
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Gregory P. Meyer
Niranjan Thakurdesai
UQCV
25
60
0
24 Oct 2019
Can We Trust You? On Calibration of a Probabilistic Object Detector for
  Autonomous Driving
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
Di Feng
Lars Rosenbaum
Claudius Glaeser
Fabian Timm
Klaus C. J. Dietmayer
UQCV
3DPC
14
39
0
26 Sep 2019
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