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A Survey of Deep Learning Techniques for Autonomous Driving

A Survey of Deep Learning Techniques for Autonomous Driving

17 October 2019
Sorin Grigorescu
Bogdan Trasnea
Tiberiu T. Cocias
G. Macesanu
    3DPC
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Papers citing "A Survey of Deep Learning Techniques for Autonomous Driving"

44 / 144 papers shown
Title
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in
  Row-Based Crops
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops
Simone Cerrato
Vittorio Mazzia
Francesco Salvetti
Mauro Martini
Simone Angarano
Alessandro Navone
Marcello Chiaberge
31
14
0
07 Dec 2021
Image prediction of disease progression by style-based manifold
  extrapolation
Image prediction of disease progression by style-based manifold extrapolation
T. Han
Jakob Nikolas Kather
F. Pedersoli
M. Zimmermann
S. Keil
...
Fabian Kiessling
Volkmar Schulz
Christiane Kuhl
S. Nebelung
Daniel Truhn
MedIm
24
3
0
22 Nov 2021
Yaw-Guided Imitation Learning for Autonomous Driving in Urban
  Environments
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments
Yandong Liu
Chengzhong Xu
Hui Kong
21
0
0
11 Nov 2021
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Rohan Chandra
Aniket Bera
Tianyi Zhou
54
22
0
04 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
27
26
0
03 Nov 2021
Improving Robustness of Deep Neural Networks for Aerial Navigation by
  Incorporating Input Uncertainty
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
24
7
0
26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with
  Noisy Labels
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
30
18
0
22 Oct 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia L. Herbert
56
14
0
14 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure
  Detection
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
Bo Sun
Jiaxu Xing
Hermann Blum
Roland Siegwart
Cesar Cadena
36
12
0
06 Oct 2021
Theory of overparametrization in quantum neural networks
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
43
188
0
23 Sep 2021
Improving the Robustness of Adversarial Attacks Using an
  Affine-Invariant Gradient Estimator
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
Wenzhao Xiang
Hang Su
Chang-rui Liu
Yandong Guo
Shibao Zheng
AAML
29
5
0
13 Sep 2021
Reachability Is NP-Complete Even for the Simplest Neural Networks
Reachability Is NP-Complete Even for the Simplest Neural Networks
Marco Sälzer
M. Lange
24
26
0
30 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
Pouya Hallaj Zavareh
Atefeh Safayari
Hamidreza Bolhasani
18
9
0
11 Jul 2021
4C: A Computation, Communication, and Control Co-Design Framework for
  CAVs
4C: A Computation, Communication, and Control Co-Design Framework for CAVs
Liangkai Liu
Shaoshan Liu
Weisong Shi
24
6
0
02 Jul 2021
A Comparison for Patch-level Classification of Deep Learning Methods on
  Transparent Environmental Microorganism Images: from Convolutional Neural
  Networks to Visual Transformers
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers
Hechen Yang
Chen Li
Jinghua Zhang
Penghui Zhao
Ao Chen
Xin Zhao
Tao Jiang
M. Grzegorzek
25
1
0
22 Jun 2021
Offline Reinforcement Learning as Anti-Exploration
Offline Reinforcement Learning as Anti-Exploration
Shideh Rezaeifar
Robert Dadashi
Nino Vieillard
Léonard Hussenot
Olivier Bachem
Olivier Pietquin
M. Geist
OffRL
42
51
0
11 Jun 2021
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local
  Trajectory Planning for Mobile Robots
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots
Bogdan Trasnea
Cosmin Ginerica
Mihai V. Zaha
G. Macesanu
C. Pozna
Sorin Grigorescu
27
8
0
02 Jun 2021
Deep Learning on Monocular Object Pose Detection and Tracking: A
  Comprehensive Overview
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Zhaoxin Fan
Yazhi Zhu
Yulin He
Qi Sun
Hongyan Liu
Jun He
28
82
0
29 May 2021
A survey of image labelling for computer vision applications
A survey of image labelling for computer vision applications
Christoph Sager
Christian Janiesch
Patrick Zschech
VLM
39
66
0
18 Apr 2021
Machine learning and deep learning
Machine learning and deep learning
Christian Janiesch
Patrick Zschech
Kai Heinrich
23
1,167
0
12 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation
  Profiles
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
G. Cantareira
R. Mello
F. Paulovich
AAML
24
9
0
18 Mar 2021
Training a Resilient Q-Network against Observational Interference
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
26
14
0
18 Feb 2021
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of
  Electron Beams using Encoder-Decoder Neural Networks
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks
Jun Zhu
Ye Chen
F. Brinker
W. Decking
S. Tomin
H. Schlarb
AI4CE
21
25
0
25 Jan 2021
Video Summarization Using Deep Neural Networks: A Survey
Video Summarization Using Deep Neural Networks: A Survey
Evlampios Apostolidis
E. Adamantidou
Alexandros I. Metsai
Vasileios Mezaris
Ioannis Patras
AI4TS
66
202
0
15 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
24
115
0
02 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
59
140
0
21 Dec 2020
Confidential Machine Learning on Untrusted Platforms: A Survey
Confidential Machine Learning on Untrusted Platforms: A Survey
Sagar Sharma
Keke Chen
FedML
14
15
0
15 Dec 2020
Learning Collision-Free Space Detection from Stereo Images: Homography
  Matrix Brings Better Data Augmentation
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation
Rui Fan
Hengli Wang
Peide Cai
Jin Wu
M. J. Bocus
Lei Qiao
Ming-Yu Liu
35
44
0
14 Dec 2020
Energy-based error bound of physics-informed neural network solutions in
  elasticity
Energy-based error bound of physics-informed neural network solutions in elasticity
Mengwu Guo
E. Haghighat
PINN
48
28
0
18 Oct 2020
End to End Binarized Neural Networks for Text Classification
End to End Binarized Neural Networks for Text Classification
Harshil Jain
Akshat Agarwal
Kumar Shridhar
Denis Kleyko
MQ
20
26
0
11 Oct 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
27
593
0
16 Jun 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
49
83
0
10 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision
  Avoidance Tasks of Self-Driving Cars
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars
Ran Emuna
A. Borowsky
Armin Biess
42
22
0
07 Jun 2020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events
  with Deep Learning for Improved Steering Prediction
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Yuhuang Hu
Jonathan Binas
Daniel Neil
Shih-Chii Liu
T. Delbruck
3DV
8
79
0
18 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
41
371
0
30 Apr 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep
  Neural Networks
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks
Alice Plebe
M. Lio
12
2
0
09 Mar 2020
Perception and Navigation in Autonomous Systems in the Era of Learning:
  A Survey
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Yang Tang
Chaoqiang Zhao
Jianrui Wang
Chongzhen Zhang
Qiyu Sun
Weixing Zheng
W. Du
Feng Qian
Jürgen Kurths
18
65
0
08 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
19
13
0
02 Jan 2020
Deep Learning and Control Algorithms of Direct Perception for Autonomous
  Driving
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Der-Hau Lee
Kuan-Lin Chen
Kuan-Han Liou
Chang-Lun Liu
Jinn-Liang Liu
BDL
22
58
0
26 Oct 2019
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and
  Odometry
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Noha Radwan
Abhinav Valada
Wolfram Burgard
76
240
0
23 Apr 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
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