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A Survey of Deep Learning Applications to Autonomous Vehicle Control

A Survey of Deep Learning Applications to Autonomous Vehicle Control

23 December 2019
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
ArXivPDFHTML

Papers citing "A Survey of Deep Learning Applications to Autonomous Vehicle Control"

50 / 113 papers shown
Title
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring
  Application
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Liangqi Yuan
Lu Su
Ziran Wang
36
19
0
12 Jan 2023
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement
  Learning
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning
Ana Carrasco
J. Sequeira
13
2
0
09 Jan 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMe
OODD
37
81
0
20 Dec 2022
Distributed Resource Allocation for URLLC in IIoT Scenarios: A
  Multi-Armed Bandit Approach
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
Francesco Pase
M. Giordani
Giampaolo Cuozzo
Sara Cavallero
J. Eichinger
Roberto Verdone
M. Zorzi
13
9
0
22 Nov 2022
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic
  Control
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control
Solomon Goldgraber Casspi
O. Husser
Guy Revach
Nir Shlezinger
21
2
0
23 Oct 2022
Exiting the Simulation: The Road to Robust and Resilient Autonomous
  Vehicles at Scale
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale
Richard Chakra
19
2
0
19 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 2022
Prediction Based Decision Making for Autonomous Highway Driving
Prediction Based Decision Making for Autonomous Highway Driving
Mustafa Yildirim
Sajjad Mozaffari
Lucy McCutcheon
M. Dianati
Alireza Tamaddoni-Nezhad Saber Fallah
16
7
0
05 Sep 2022
Automated Detection of Label Errors in Semantic Segmentation Datasets
  via Deep Learning and Uncertainty Quantification
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
Matthias Rottmann
Marco Reese
UQCV
23
22
0
13 Jul 2022
A Survey of Recent Machine Learning Solutions for Ship Collision
  Avoidance and Mission Planning
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning
Pouria Sarhadi
W. Naeem
N. Athanasopoulos
28
17
0
06 Jul 2022
Holistic Transformer: A Joint Neural Network for Trajectory Prediction
  and Decision-Making of Autonomous Vehicles
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles
Hongyu Hu
Qi Wang
Zheng-Wei Zhang
Zheng Li
Zhenhai Gao
24
28
0
17 Jun 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating
  Weather Conditions on the Camera Lens of Autonomous Systems
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
Alberto Marchisio
Giovanni Caramia
Maurizio Martina
Muhammad Shafique
AAML
33
8
0
27 May 2022
The Different Faces of AI Ethics Across the World: A
  Principle-Implementation Gap Analysis
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis
L. Tidjon
Foutse Khomh
22
7
0
12 May 2022
A Simple Structure For Building A Robust Model
A Simple Structure For Building A Robust Model
Xiao Tan
Jingbo Gao
Ruolin Li
AAML
OOD
35
3
0
25 Apr 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 Mar 2022
LightHuBERT: Lightweight and Configurable Speech Representation Learning
  with Once-for-All Hidden-Unit BERT
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT
Rui Wang
Qibing Bai
Junyi Ao
Long Zhou
Zhixiang Xiong
Zhihua Wei
Yu Zhang
Tom Ko
Haizhou Li
34
61
0
29 Mar 2022
Optimizing Trajectories for Highway Driving with Offline Reinforcement
  Learning
Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning
Branka Mirchevska
M. Werling
Joschka Boedecker
OffRL
18
5
0
21 Mar 2022
Multi-Task Conditional Imitation Learning for Autonomous Navigation at
  Crowded Intersections
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections
Zeyu Zhu
Huijing Zhao
18
8
0
21 Feb 2022
Stochastic Coded Federated Learning with Convergence and Privacy
  Guarantees
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
Yuchang Sun
Jiawei Shao
Songze Li
Yuyi Mao
Jun Zhang
FedML
15
17
0
25 Jan 2022
Parallelized and Randomized Adversarial Imitation Learning for
  Safety-Critical Self-Driving Vehicles
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles
Won Joon Yun
Myungjae Shin
Soyi Jung
S. Kwon
Joongheon Kim
22
5
0
26 Dec 2021
Monitoring and Adapting the Physical State of a Camera for Autonomous
  Vehicles
Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles
Maik Wischow
Guillermo Gallego
I. Ernst
Anko Borner
27
5
0
10 Dec 2021
Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral
  Models and Reinforcement Learning
Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning
Huayi Li
Nan I. Li
I. Kolmanovsky
Anouck Girard
19
0
0
27 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
S. Tan
Runpei Dong
Kaisheng Ma
22
2
0
03 Nov 2021
Delayed Propagation Transformer: A Universal Computation Engine towards
  Practical Control in Cyber-Physical Systems
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Wenqing Zheng
Qiangqiang Guo
H. Yang
Peihao Wang
Zhangyang Wang
AI4CE
6
12
0
29 Oct 2021
Local Repair of Neural Networks Using Optimization
Local Repair of Neural Networks Using Optimization
K. Majd
Siyu Zhou
H. B. Amor
Georgios Fainekos
S. Sankaranarayanan
18
6
0
28 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yu Liu
AI4TS
22
15
0
17 Sep 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
35
39
0
11 Aug 2021
The Graph Neural Networking Challenge: A Worldwide Competition for
  Education in AI/ML for Networks
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
J. Suárez-Varela
Miquel Ferriol Galmés
Albert Lopez
Paul Almasan
Guillermo Bernárdez
...
H. Wissing
Bo-Xi Wu
Shihan Xiao
Pere Barlet-Ros
A. Cabellos-Aparicio
32
17
0
26 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
30
5
0
09 Jul 2021
Adversarial Mixture Density Networks: Learning to Drive Safely from
  Collision Data
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data
Sampo Kuutti
Saber Fallah
Richard Bowden
GAN
8
3
0
09 Jul 2021
aiSTROM -- A roadmap for developing a successful AI strategy
aiSTROM -- A roadmap for developing a successful AI strategy
Dorien Herremans
21
7
0
25 Jun 2021
Robust EMRAN-aided Coupled Controller for Autonomous Vehicles
Robust EMRAN-aided Coupled Controller for Autonomous Vehicles
Sauranil Debarshi
Suresh Sundaram
N. Sundararajan
22
8
0
22 Jun 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive
  Survey
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Anum Talpur
M. Gurusamy
9
61
0
31 May 2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For
  Autonomous Driving
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Kinjal Dasgupta
Arindam Das
Sudip Das
Ujjwal Bhattacharya
S. Yogamani
30
61
0
26 May 2021
Composition and Application of Current Advanced Driving Assistance
  System: A Review
Composition and Application of Current Advanced Driving Assistance System: A Review
Xinran Li
Kuo-Yi Lin
Min Meng
Xiuxian Li
Li Li
Yiguang Hong
Jie-bin Chen
18
8
0
26 May 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving
  via Virtual Safety Cages
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Sampo Kuutti
Richard Bowden
Saber Fallah
35
14
0
17 Mar 2021
Hybrid Car-Following Strategy based on Deep Deterministic Policy
  Gradient and Cooperative Adaptive Cruise Control
Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control
Ruidong Yan
Rui Jiang
Bin Jia
Jin Huang
Diange Yang
6
46
0
24 Feb 2021
A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning
A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning
Matthew T. Whelan
T. Prescott
Eleni Vasilaki
27
5
0
23 Feb 2021
A Recurrent Neural Network Approach to Roll Estimation for Needle
  Steering
A Recurrent Neural Network Approach to Roll Estimation for Needle Steering
Maxwell Emerson
James M. Ferguson
T. Ertop
M. Rox
J. Granna
...
Fabien Maldonado
E. Gillaspie
Ron Alterovitz
R. Webster
Alan Kuntz
LLMSV
25
3
0
13 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
82
147
0
06 Jan 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
Does the dataset meet your expectations? Explaining sample
  representation in image data
Does the dataset meet your expectations? Explaining sample representation in image data
Dhasarathy Parthasarathy
Anton Johansson
14
0
0
06 Dec 2020
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Taylor Mordan
Matthieu Cord
P. Pérez
Alexandre Alahi
24
22
0
04 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies
Challenges in Deploying Machine Learning: a Survey of Case Studies
Andrei Paleyes
Raoul-Gabriel Urma
Neil D. Lawrence
23
389
0
18 Nov 2020
Safe Trajectory Planning Using Reinforcement Learning for Self Driving
Safe Trajectory Planning Using Reinforcement Learning for Self Driving
Josiah Coad
Zhiqian Qiao
John M. Dolan
8
7
0
09 Nov 2020
Control with adaptive Q-learning
Control with adaptive Q-learning
J. Araújo
Mário A. T. Figueiredo
M. Botto
25
2
0
03 Nov 2020
VEGA: Towards an End-to-End Configurable AutoML Pipeline
VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang
Hang Xu
Jiajin Zhang
Cheng Chen
Xiaozhi Fang
...
Wei Zhang
Chunjing Xu
Zhenguo Li
Wenzhi Liu
Tong Zhang
13
11
0
03 Nov 2020
Methods for Pruning Deep Neural Networks
Methods for Pruning Deep Neural Networks
S. Vadera
Salem Ameen
3DPC
21
122
0
31 Oct 2020
Imitation Learning of Hierarchical Driving Model: from Continuous
  Intention to Continuous Trajectory
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
Yunkai Wang
Dongkun Zhang
Jingke Wang
Zexi Chen
Yue Wang
R. Xiong
21
18
0
20 Oct 2020
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge
  Transfer
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
Mahdi Ghorbani
Fahimeh Fooladgar
S. Kasaei
AAML
26
0
0
09 Oct 2020
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