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Failure Prediction for Autonomous Driving

Failure Prediction for Autonomous Driving

4 May 2018
Simon Hecker
Dengxin Dai
Luc Van Gool
ArXivPDFHTML

Papers citing "Failure Prediction for Autonomous Driving"

13 / 13 papers shown
Title
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident
  Failing Samples for Deep Learning Models
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models
Zhengyuan Wei
Haipeng Wang
Qili Zhou
William Chan
34
0
0
19 Jul 2024
Infrastructure-based End-to-End Learning and Prevention of Driver
  Failure
Infrastructure-based End-to-End Learning and Prevention of Driver Failure
Noam Buckman
Shiva Sreeram
Mathias Lechner
Yutong Ban
Ramin Hasani
S. Karaman
Daniela Rus
19
2
0
21 Mar 2023
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
39
1
0
18 Jul 2022
Error-Aware Imitation Learning from Teleoperation Data for Mobile
  Manipulation
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
J. Wong
Albert Tung
Andrey Kurenkov
Ajay Mandlekar
Li Fei-Fei
Silvio Savarese
Roberto Martín-Martín
24
54
0
09 Dec 2021
Statistical Perspectives on Reliability of Artificial Intelligence
  Systems
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Yili Hong
J. Lian
Li Xu
Jie Min
Yueyao Wang
Laura J. Freeman
Xinwei Deng
25
30
0
09 Nov 2021
Triggering Failures: Out-Of-Distribution detection by learning from
  local adversarial attacks in Semantic Segmentation
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
19
48
0
03 Aug 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
27
51
0
05 Jan 2021
Confidence Estimation via Auxiliary Models
Confidence Estimation via Auxiliary Models
Charles Corbière
Nicolas Thome
A. Saporta
Tuan-Hung Vu
Matthieu Cord
P. Pérez
TPM
26
47
0
11 Dec 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
41
82
0
10 Jun 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
18
228
0
13 Mar 2020
Addressing Failure Prediction by Learning Model Confidence
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière
Nicolas Thome
Avner Bar-Hen
Matthieu Cord
P. Pérez
19
281
0
01 Oct 2019
End-to-End Learning of Driving Models with Surround-View Cameras and
  Route Planners
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Simon Hecker
Dengxin Dai
Luc Van Gool
19
164
0
27 Mar 2018
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
9,136
0
06 Jun 2015
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