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1804.05132
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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
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Terumi Umematsu
Hitoshi Imaoka
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Can Uncertainty Quantification Enable Better Learning-based Index Tuning?
Tao Yu
Zhaonian Zou
Hao Xiong
28
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23 Oct 2024
Relationship between Uncertainty in DNNs and Adversarial Attacks
Abigail Adeniran
Adewale Adeyemo
Adewale Adeyemo
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UTrack: Multi-Object Tracking with Uncertain Detections
Edgardo Solano-Carrillo
Felix Sattler
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Jannis Stoppe
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42
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30 Aug 2024
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Jiahui Wu
Shaukat Ali
Mikkel Labori Olsen
UQCV
32
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22 Aug 2024
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
Alexandre Duarte
Francisco Fernandes
João M. Pereira
Catarina Moreira
Jacinto C. Nascimento
Joaquim A. Jorge
MDE
23
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0
05 Jun 2024
Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering
Hakan Yekta Yatbaz
M. Dianati
K. Koufos
Roger Woodman
54
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0
13 May 2024
Uncertainty-boosted Robust Video Activity Anticipation
Zhaobo Qi
Shuhui Wang
Weigang Zhang
Qingming Huang
36
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29 Apr 2024
Object criticality for safer navigation
Andrea Ceccarelli
Leonardo Montecchi
41
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25 Apr 2024
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns
Hakan Yekta Yatbaz
M. Dianati
K. Koufos
Roger Woodman
3DPC
21
2
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11 Apr 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
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Sinead Williamson
UQCV
43
6
0
18 Mar 2024
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Yingyi Chen
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Dexiong Chen
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OOD
43
4
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01 Mar 2024
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
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Zichen Miao
Qiang Qiu
Ruqi Zhang
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UQCV
20
8
0
16 Feb 2024
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving
Wencheng Han
Dongqian Guo
Cheng-Zhong Xu
Jianbing Shen
32
25
0
08 Jan 2024
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach
Lucas Luttner
UQCV
23
1
0
13 Dec 2023
Multimodal Indoor Localization Using Crowdsourced Radio Maps
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Xiangyu Wen
Qiyue Xia
Peize Li
F. Zampella
Firas Alsehly
Chris Xiaoxuan Lu
30
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17 Nov 2023
Uncertainty Quantification using Generative Approach
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UQCV
BDL
19
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LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis
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Vinzenz Dallabetta
Johannes Kopp
M. Walessa
D. Meissner
Klaus C. J. Dietmayer
20
5
0
02 Oct 2023
Single-shot Bayesian approximation for neural networks
K. Brach
Beate Sick
Oliver Durr
BDL
UQCV
13
0
0
24 Aug 2023
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Yang Lou
Qun Song
Qian Xu
Rui Tan
Jianping Wang
21
1
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Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration
Moussa Kassem Sbeyti
Michelle Karg
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Azarm Nowzad
S. Albayrak
22
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LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
Tobias Riedlinger
Marius Schubert
Sarina Penquitt
Jan-Marcel Kezmann
Pascal Colling
Karsten Kahl
L. Roese-Koerner
Michael Arnold
Urs Zimmermann
Matthias Rottmann
3DPC
35
1
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13 Jun 2023
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
M. Jung
Sangwoo Jung
Ayoung Kim
30
16
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26 May 2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
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A. Eskandarian
Zachary R. Doerzaph
P. Ghorai
35
4
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26 May 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Ferhat Ozgur Catak
Marc Brittain
Murat Kuzlu
Christine Serres
UQCV
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1
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04 May 2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Jiahui Geng
Zhiwei Li
Zhenhong Zou
Xinchen Gao
Yijin Xiong
Dafeng Jin
Jun Li
Huaping Liu
35
5
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23 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
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25
2
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ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
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Yingying Wu
16
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Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
Pengfei Zhu
Mengshi Qi
Xia Li
Weijian Li
Huadong Ma
23
6
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17 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng
Guangyong Chen
Yang Yu
Fu-Lun Liu
Pheng-Ann Heng
EDL
UQCV
FedML
35
41
0
03 Mar 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Illia Oleksiienko
Alexandros Iosifidis
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33
1
0
12 Feb 2023
Variational Voxel Pseudo Image Tracking
Illia Oleksiienko
Paraskevi Nousi
Nikolaos Passalis
Anastasios Tefas
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24
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Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
Jaeyoung Kim
Seo Taek Kong
Dongbin Na
Kyu-Hwan Jung
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An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
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Yuheng Huang
Lei Ma
Haruki Yokoyama
Susumu Tokumoto
Kazuki Munakata
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4
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Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
Felicia Ruppel
F. Faion
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15
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Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
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59
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Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
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Joanna Dipnall
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Lan Du
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59
12
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Uncertainty-Aware Lidar Place Recognition in Novel Environments
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56
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On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
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41
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GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
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22
21
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Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Chengjie Huang
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Vahdat Abdelzad
Christopher Gus Mannes
Luke Rowe
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Rick Salay
Krzysztof Czarnecki
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148
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Uncertainty Quantification of Collaborative Detection for Self-Driving
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53
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Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
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STUN: Self-Teaching Uncertainty Estimation for Place Recognition
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16 Feb 2022
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