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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

26 September 2019
Di Feng
Lars Rosenbaum
Claudius Glaeser
Fabian Timm
Klaus C. J. Dietmayer
    UQCV
    3DPC
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Papers citing "Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving"

11 / 11 papers shown
Title
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
53
1
0
04 Mar 2024
Overcoming the Limitations of Localization Uncertainty: Efficient &
  Exact Non-Linear Post-Processing and Calibration
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration
Moussa Kassem Sbeyti
Michelle Karg
Christian Wirth
Azarm Nowzad
S. Albayrak
22
3
0
15 Jun 2023
Parametric and Multivariate Uncertainty Calibration for Regression and
  Object Detection
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers
Jonas Schneider
Anselm Haselhoff
UQCV
34
8
0
04 Jul 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object
  Detection
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
Matthew A. Pitropov
Chengjie Huang
Vahdat Abdelzad
Krzysztof Czarnecki
Steven Waslander
3DPC
19
3
0
01 Jun 2022
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural
  networks for robot perception
fff-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Dhaivat Bhatt
Kaustubh Mani
Dishank Bansal
Krishna Murthy Jatavallabhula
Hanju Lee
Liam Paull
UQCV
23
5
0
28 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Fabian Küppers
Jan Kronenberger
Jonas Schneider
Anselm Haselhoff
UQCV
BDL
19
8
0
21 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
37
66
0
26 Jul 2021
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
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
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
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
988
0
21 Feb 2019
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