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Evaluating Uncertainty Quantification in End-to-End Autonomous Driving
  Control

Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control

16 November 2018
Rhiannon Michelmore
Marta Kwiatkowska
Y. Gal
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control"

39 / 39 papers shown
Title
Graph Evidential Learning for Anomaly Detection
Graph Evidential Learning for Anomaly Detection
Chunyu Wei
Wenji Hu
Xingjia Hao
Yunhai Wang
Yueguo Chen
Bing Bai
Fei Wang
20
0
0
31 May 2025
Challenger: Affordable Adversarial Driving Video Generation
Challenger: Affordable Adversarial Driving Video Generation
Zhiyuan Xu
Bohan Li
Huan-ang Gao
Mingju Gao
Yong Chen
Ming-Yuan Liu
Chenxu Yan
Hang Zhao
Shuo Feng
Hao Zhao
AAMLVGen
268
2
0
21 May 2025
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
Christopher Bülte
Yusuf Sale
Timo Löhr
Paul Hofman
Gitta Kutyniok
Eyke Hüllermeier
UD
125
3
0
25 Apr 2025
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
131
13
0
29 Apr 2024
Second-Order Uncertainty Quantification: Variance-Based Measures
Second-Order Uncertainty Quantification: Variance-Based Measures
Yusuf Sale
Paul Hofman
Lisa Wimmer
Eyke Hüllermeier
Thomas Nagler
PERUQCVUD
79
11
0
30 Dec 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning
  Agents
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
S. Ramesh
105
5
0
03 Aug 2023
Deep Gaussian Mixture Ensembles
Deep Gaussian Mixture Ensembles
Yousef El-Laham
Niccolò Dalmasso
Elizabeth Fons
Svitlana Vyetrenko
BDLUQCV
60
2
0
12 Jun 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning
  Components
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
57
5
0
12 Jan 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDLUQCV
76
11
0
14 Dec 2022
Deep Variational Inverse Scattering
Deep Variational Inverse Scattering
AmirEhsan Khorashadizadeh
A. Aghababaei
Tin Vlavsić
Hieu Nguyen
Ivan Dokmanić
BDLUQCV
71
3
0
08 Dec 2022
Modular Conformal Calibration
Modular Conformal Calibration
Charles Marx
Shengjia Zhao
Willie Neiswanger
Stefano Ermon
57
16
0
23 Jun 2022
Quantifying and Using System Uncertainty in UAV Navigation
Quantifying and Using System Uncertainty in UAV Navigation
F. Arnez
A. Radermacher
H. Espinoza
BDLUQCV
61
4
0
04 Jun 2022
A Complete Characterisation of ReLU-Invariant Distributions
A Complete Characterisation of ReLU-Invariant Distributions
Jan Macdonald
S. Wäldchen
40
1
0
13 Dec 2021
Quantifying Epistemic Uncertainty in Deep Learning
Quantifying Epistemic Uncertainty in Deep Learning
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCVBDLUDPER
105
14
0
23 Oct 2021
RoMA: a Method for Neural Network Robustness Measurement and Assessment
RoMA: a Method for Neural Network Robustness Measurement and Assessment
Natan Levy
Guy Katz
OODAAML
70
13
0
21 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai
Lingxiao Wang
Lei Han
Animesh Garg
Jianye Hao
Peng Liu
Zhaoran Wang
60
29
0
20 Oct 2021
Marginally calibrated response distributions for end-to-end learning in
  autonomous driving
Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann
Nadja Klein
87
2
0
03 Oct 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to
  Multi-Class Segmentation
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Robin Camarasa
D. Bos
J. Hendrikse
P. Nederkoorn
D. Epidemiology
D. Neurology
Department of Computer Science
UQCV
80
12
0
22 Sep 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
113
70
0
26 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple
  Large-Scale Tasks
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. Malinin
Neil Band
Ganshin
Alexander
German Chesnokov
...
Roginskiy
Denis
Mariya Shmatova
Panos Tigas
Boris Yangel
UQCVOOD
124
132
0
15 Jul 2021
What classifiers know what they don't?
What classifiers know what they don't?
Mohamed Ishmael Belghazi
David Lopez-Paz
86
7
0
13 Jul 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
76
22
0
11 Jul 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output
  Pairs in Deep Learning
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen
Neil Band
Clare Lyle
Aidan Gomez
Tom Rainforth
Y. Gal
OOD3DPC
116
142
0
04 Jun 2021
Learning Uncertainty For Safety-Oriented Semantic Segmentation In
  Autonomous Driving
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
Victor Besnier
David Picard
Alexandre Briot
UQCV
44
11
0
28 May 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning
  with Applications in Autonomous Driving
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
C. Hoel
Krister Wolff
L. Laine
UQCVEDL
68
42
0
21 May 2021
Efficient and Robust LiDAR-Based End-to-End Navigation
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu
Alexander Amini
Sibo Zhu
S. Karaman
Song Han
Daniela Rus
249
48
0
20 May 2021
Identifying Driver Interactions via Conditional Behavior Prediction
Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina V. Tolstaya
R. Mahjourian
Carlton Downey
Balakrishnan Varadarajan
Benjamin Sapp
Drago Anguelov
176
72
0
20 Apr 2021
Robust Vision-Based Cheat Detection in Competitive Gaming
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda
I. Frosio
Seth Schneider
M. McGuire
Joohwan Kim
AAML
44
16
0
18 Mar 2021
Fail-Safe Execution of Deep Learning based Systems through Uncertainty
  Monitoring
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring
Michael Weiss
Paolo Tonella
AAML
121
30
0
01 Feb 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
135
55
0
05 Jan 2021
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
71
30
0
26 Jun 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to
  Distribution Shifts?
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos
P. Tigas
R. McAllister
Nicholas Rhinehart
Sergey Levine
Y. Gal
83
188
0
26 Jun 2020
Reinforcement Learning with Uncertainty Estimation for Tactical
  Decision-Making in Intersections
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
C. Hoel
Tommy Tram
J. Sjöberg
75
30
0
17 Jun 2020
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning
  with Uncertainty Estimation
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation
C. Hoel
Krister Wolff
L. Laine
39
44
0
22 Apr 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep
  Networks
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
Marius Hobbhahn
Agustinus Kristiadi
Philipp Hennig
BDLUQCV
160
34
0
02 Mar 2020
On Last-Layer Algorithms for Classification: Decoupling Representation
  from Uncertainty Estimation
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
N. Brosse
C. Riquelme
Alice Martin
Sylvain Gelly
Eric Moulines
BDLOODUQCV
97
34
0
22 Jan 2020
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Sina Mohseni
Mandar Pitale
Vasu Singh
Zhangyang Wang
84
68
0
20 Dec 2019
Generalizing from a few environments in safety-critical reinforcement
  learning
Generalizing from a few environments in safety-critical reinforcement learning
Zachary Kenton
Angelos Filos
Owain Evans
Y. Gal
84
16
0
02 Jul 2019
Predicting Model Failure using Saliency Maps in Autonomous Driving
  Systems
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
Sina Mohseni
Akshay V. Jagadeesh
Zhangyang Wang
73
14
0
19 May 2019
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