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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
ArXivPDFHTML

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

22 / 122 papers shown
Title
Uncertainty Quantification with Statistical Guarantees in End-to-End
  Autonomous Driving Control
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
Rhiannon Michelmore
Matthew Wicker
Luca Laurenti
L. Cardelli
Y. Gal
Marta Z. Kwiatkowska
BDL
13
105
0
21 Sep 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated
  Variance Propagation
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
Janis Postels
Francesco Ferroni
Huseyin Coskun
Nassir Navab
Federico Tombari
UQCV
UD
PER
BDL
27
139
0
01 Aug 2019
Warp and Learn: Novel Views Generation for Vehicles and Other Objects
Warp and Learn: Novel Views Generation for Vehicles and Other Objects
Andrea Palazzi
Luca Bergamini
Simone Calderara
Rita Cucchiara
26
0
0
24 Jul 2019
A General Framework for Uncertainty Estimation in Deep Learning
A General Framework for Uncertainty Estimation in Deep Learning
Antonio Loquercio
Mattia Segu
Davide Scaramuzza
UQCV
BDL
OOD
31
289
0
16 Jul 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty
  Estimation
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
UQCV
33
117
0
14 Jun 2019
A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
40
1,344
0
12 Jun 2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi
Liran Gispan
Niv Giladi
Ethan Fetaya
UQCV
16
142
0
28 May 2019
Uncertainty Estimation in One-Stage Object Detection
Uncertainty Estimation in One-Stage Object Detection
Florian Kraus
Klaus C. J. Dietmayer
UQCV
21
83
0
24 May 2019
Gaze Training by Modulated Dropout Improves Imitation Learning
Gaze Training by Modulated Dropout Improves Imitation Learning
Yuying Chen
Congcong Liu
L. Tai
Ming Liu
Bertram E. Shi
12
16
0
17 Apr 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization
  Uncertainty for Autonomous Driving
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi
Dayoung Chun
Hyun Kim
Hyuk-Jae Lee
43
397
0
09 Apr 2019
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous
  Driving
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
Gregory P. Meyer
A. Laddha
E. Kee
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
26
338
0
20 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object
  Detectors
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
Ali Harakeh
Michael H. W. Smart
Steven L. Waslander
BDL
UQCV
26
115
0
09 Mar 2019
Function Space Particle Optimization for Bayesian Neural Networks
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang
Tongzheng Ren
Jun Zhu
Bo Zhang
BDL
28
63
0
26 Feb 2019
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
987
0
21 Feb 2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
Sascha Wirges
Marcel Reith-Braun
Martin Lauer
Christoph Stiller
3DPC
28
32
0
31 Jan 2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object
  Detector
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Di Feng
Xiao Wei
Lars Rosenbaum
A. Maki
Klaus C. J. Dietmayer
3DPC
28
86
0
29 Jan 2019
Calibrating Uncertainties in Object Localization Task
Calibrating Uncertainties in Object Localization Task
Buu Phan
Rick Salay
Krzysztof Czarnecki
Vahdat Abdelzad
Taylor Denouden
Sachin Vernekar
UQCV
24
22
0
27 Nov 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
46
466
0
23 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques
  in Object Detection
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
Dimity Miller
Feras Dayoub
Michael Milford
Niko Sünderhauf
23
105
0
17 Sep 2018
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time
  LiDAR 3D Object Detection
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
Di Feng
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
3DPC
24
69
0
14 Sep 2018
Detection, localisation and tracking of pallets using machine learning
  techniques and 2D range data
Detection, localisation and tracking of pallets using machine learning techniques and 2D range data
Ihab S. Mohamed
Alessio Capitanelli
Fulvio Mastrogiovanni
S. Rovetta
R. Zaccaria
17
47
0
29 Mar 2018
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
522
0
21 Sep 2016
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