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End-to-end Learning of Driving Models from Large-scale Video Datasets
v1v2 (latest)

End-to-end Learning of Driving Models from Large-scale Video Datasets

4 December 2016
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
ArXiv (abs)PDFHTML

Papers citing "End-to-end Learning of Driving Models from Large-scale Video Datasets"

50 / 317 papers shown
Title
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy:
  From Physics-Based to AI-Guided Driving Policy Learning
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy LearningTransportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020
Xuan Di
Rongye Shi
222
205
0
10 Jul 2020
PathGAN: Local Path Planning with Attentive Generative Adversarial
  Networks
PathGAN: Local Path Planning with Attentive Generative Adversarial Networks
Dooseop Choi
Seung-Jun Han
Kyoung‐Wook Min
Jeongdan Choi
GAN
151
5
0
08 Jul 2020
Anomaly Detection using Deep Reconstruction and Forecasting for
  Autonomous Systems
Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems
Nadarasar Bahavan
Navaratnarajah Suman
Sulhi Cader
Ruwinda Ranganayake
Damitha Seneviratne
...
Yasinha Supun
Isuru Wijesiri
Suchitha Dehigaspitiya
Dumindu Tissera
Chamira U. S. Edussooriya
133
7
0
25 Jun 2020
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Faith Johnson
Kristin J. Dana
LLMSV
122
12
0
11 Jun 2020
Neural Network Activation Quantization with Bitwise Information
  Bottlenecks
Neural Network Activation Quantization with Bitwise Information Bottlenecks
Xichuan Zhou
Kui Liu
Cong Shi
Haijun Liu
Ji Liu
MQ
93
1
0
09 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
139
24
0
07 Jun 2020
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Luca Cultrera
Lorenzo Seidenari
Federico Becattini
P. Pala
Marco Bertini
135
51
0
05 Jun 2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Francesco Marchetti
Federico Becattini
Lorenzo Seidenari
Marco Bertini
206
130
0
05 Jun 2020
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end
  Autonomous Driving with Scene Understanding
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang
Chen Lv
Yang Xing
Jingda Wu
224
153
0
19 May 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
154
103
0
18 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
136
15
0
08 May 2020
DeepRacing: Parameterized Trajectories for Autonomous Racing
DeepRacing: Parameterized Trajectories for Autonomous Racing
Trent Weiss
Madhur Behl
128
18
0
06 May 2020
Guided Policy Search Model-based Reinforcement Learning for Urban
  Autonomous Driving
Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving
Zhuo Xu
Jianyu Chen
Masayoshi Tomizuka
113
13
0
06 May 2020
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
Ankita Shukla
Pavan Turaga
Saket Anand
AAML
151
1
0
06 May 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor FusionIEEE Robotics and Automation Letters (RA-L), 2020
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yuan Liu
196
72
0
05 May 2020
VTGNet: A Vision-based Trajectory Generation Network for Autonomous
  Vehicles in Urban Environments
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsIEEE Transactions on Intelligent Vehicles (TIV), 2020
Peide Cai
Yuxiang Sun
Haoyu Wang
Ming-Yuan Liu
191
51
0
27 Apr 2020
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots
Xu Shen
Ivo Batkovic
Vijay Govindarajan
P. Falcone
Trevor Darrell
Francesco Borrelli
90
18
0
21 Apr 2020
Approximate Inverse Reinforcement Learning from Vision-based Imitation
  Learning
Approximate Inverse Reinforcement Learning from Vision-based Imitation LearningIEEE International Conference on Robotics and Automation (ICRA), 2020
Keuntaek Lee
Bogdan I. Vlahov
Jason Gibson
James M. Rehg
Evangelos A. Theodorou
133
12
0
17 Apr 2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
RoboTHOR: An Open Simulation-to-Real Embodied AI PlatformComputer Vision and Pattern Recognition (CVPR), 2020
Matt Deitke
Winson Han
Alvaro Herrasti
Aniruddha Kembhavi
Eric Kolve
...
Eli VanderBilt
Matthew Wallingford
Luca Weihs
Mark Yatskar
Ali Farhadi
LM&Ro
265
279
0
14 Apr 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability
  Distributions
Extending Adversarial Attacks to Produce Adversarial Class Probability DistributionsJournal of machine learning research (JMLR), 2020
Jon Vadillo
Roberto Santana
Jose A. Lozano
AAML
196
0
0
14 Apr 2020
Context-Aware Multi-Task Learning for Traffic Scene Recognition in
  Autonomous Vehicles
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
Younkwan Lee
Ji-Kwang Jeon
Jongmin Yu
M. Jeon
135
9
0
03 Apr 2020
Pedestrian Models for Autonomous Driving Part II: High-Level Models of
  Human Behavior
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior
F. Camara
Nicola Bellotto
S. Coşar
Florian Weber
Dimitris Nathanael
...
Gustav Markkula
Anna Schieben
F. Tango
N. Merat
Charles W. Fox
158
125
0
26 Mar 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous VehiclesComputer Vision and Pattern Recognition (CVPR), 2020
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
172
134
0
20 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training MethodsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
316
276
0
13 Mar 2020
Weight mechanism: adding a constant in concatenation of series connect
Weight mechanism: adding a constant in concatenation of series connect
Xiaojie Qi
85
0
0
07 Mar 2020
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk
  Object Identification via Causal Inference
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal InferenceIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
CML
225
56
0
05 Mar 2020
Efficient Latent Representations using Multiple Tasks for Autonomous
  Driving
Efficient Latent Representations using Multiple Tasks for Autonomous Driving
E. Kargar
Ville Kyrki
SSL
136
3
0
02 Mar 2020
See, Attend and Brake: An Attention-based Saliency Map Prediction Model
  for End-to-End Driving
See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
Ekrem Aksoy
A. Yazıcı
Mahmut Kasap
146
15
0
24 Feb 2020
High-Order Paired-ASPP Networks for Semantic Segmenation
High-Order Paired-ASPP Networks for Semantic Segmenation
Yu Zhang
Changrui Chen
Junyu Dong
Xin Sun
Yue Shen
185
2
0
18 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
626
2,064
0
02 Feb 2020
Integrating Deep Reinforcement Learning with Model-based Path Planners
  for Automated Driving
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving
Ekim Yurtsever
L. Capito
Keith A. Redmill
Ü. Özgüner
149
20
0
02 Feb 2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep
  Reinforcement Learning
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Zhensong Wei
Yu Jiang
Xishun Liao
Xuewei Qi
Ziran Wang
Guoyuan Wu
Peng Hao
Matthew Barth
78
10
0
24 Jan 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
287
291
0
23 Jan 2020
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy
  Deep Inverse Reinforcement Learning
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement LearningIEEE International Conference on Computer Vision (ICCV), 2019
Sonia Baee
Erfan Pakdamanian
Inki Kim
Lu Feng
Vicente Ordonez
Laura E. Barnes
279
55
0
17 Dec 2019
Reinforcement Learning-based Visual Navigation with
  Information-Theoretic Regularization
Reinforcement Learning-based Visual Navigation with Information-Theoretic RegularizationIEEE Robotics and Automation Letters (RA-L), 2019
Qiaoyun Wu
Kai Xu
Jun Wang
Mingliang Xu
Xiaoxi Gong
Tianyi Zhou
249
32
0
09 Dec 2019
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy
  Learning
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
Albert Zhao
Tong He
Yitao Liang
Haibin Huang
Karen Ullrich
Stefano Soatto
125
16
0
06 Dec 2019
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object
  Tracking
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object TrackingAAAI Conference on Artificial Intelligence (AAAI), 2019
Qintao Hu
Lijun Zhou
Xiaoxiao Wang
Yao Mao
Jianlin Zhang
QiXiang Ye
192
9
0
02 Dec 2019
DeepGoal: Learning to Drive with driving intention from Human Control
  Demonstration
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration
Huifang Ma
Yue Wang
R. Xiong
S. Kodagoda
Li Tang
107
7
0
28 Nov 2019
Social Attention for Autonomous Decision-Making in Dense Traffic
Social Attention for Autonomous Decision-Making in Dense Traffic
Edouard Leurent
Jean Pierre Mercat
214
95
0
27 Nov 2019
Outside the Box: Abstraction-Based Monitoring of Neural Networks
Outside the Box: Abstraction-Based Monitoring of Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2019
T. Henzinger
Anna Lukina
Christian Schilling
AAML
298
65
0
20 Nov 2019
Accurate Trajectory Prediction for Autonomous Vehicles
Accurate Trajectory Prediction for Autonomous Vehicles
M. Diodato
Yu Li
Antonia Lovjer
Minsu Yeom
Albert Song
Y. Zeng
Abhay Khosla
Benedikt Schifferer
M. Goyal
Iddo Drori
85
1
0
18 Nov 2019
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Grounding Human-to-Vehicle Advice for Self-driving VehiclesComputer Vision and Pattern Recognition (CVPR), 2019
Jinkyu Kim
Teruhisa Misu
Yi-Ting Chen
Ashish Tawari
John F. Canny
163
119
0
16 Nov 2019
Interpretable Self-Attention Temporal Reasoning for Driving Behavior
  Understanding
Interpretable Self-Attention Temporal Reasoning for Driving Behavior UnderstandingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Yi-Chieh Liu
Yung-An Hsieh
Min-Hung Chen
Chao-Han Huck Yang
Jesper N. Tegnér
Y. Tsai
146
19
0
06 Nov 2019
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
189
60
0
26 Oct 2019
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised
  Domain Adaptation
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Fabio Pizzati
Raoul de Charette
Michela Zaccaria
Pietro Cerri
301
85
0
23 Oct 2019
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge
Antonia Lovjer
Minsu Yeom
Benedikt Schifferer
Iddo Drori
SSeg
91
1
0
23 Oct 2019
A Survey of Deep Learning Techniques for Autonomous Driving
A Survey of Deep Learning Techniques for Autonomous Driving
Sorin Grigorescu
Bogdan Trasnea
Tiberiu T. Cocias
G. Macesanu
3DPC
251
1,574
0
17 Oct 2019
Conditional Driving from Natural Language Instructions
Conditional Driving from Natural Language InstructionsConference on Robot Learning (CoRL), 2019
Junha Roh
Chris Paxton
Andrzej Pronobis
Ali Farhadi
Dieter Fox
LM&Ro
171
35
0
16 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated
  Locomotion Demonstrations
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion DemonstrationsMachine-mediated learning (ML), 2019
Ozsel Kilinc
Giovanni Montana
293
46
0
16 Oct 2019
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network
  for Autonomous Vehicle Control Verification and Validation
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
Ran Tian
Nan I. Li
Ilya Kolmanovsky
Y. Yildiz
Anouck Girard
192
88
0
16 Oct 2019
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