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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"

17 / 317 papers shown
Title
Gradient-free Policy Architecture Search and Adaptation
Gradient-free Policy Architecture Search and Adaptation
Sayna Ebrahimi
Anna Rohrbach
Trevor Darrell
94
30
0
16 Oct 2017
Arguing Machines: Human Supervision of Black Box AI Systems That Make
  Life-Critical Decisions
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions
Alex Fridman
Li Ding
Benedikt Jenik
B. Reimer
115
14
0
12 Oct 2017
End-to-End Deep Learning for Steering Autonomous Vehicles Considering
  Temporal Dependencies
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies
Hesham M. Eraqi
Mohamed Moustafa
J. Honer
LLMSV
139
122
0
10 Oct 2017
Learning Functional Causal Models with Generative Neural Networks
Learning Functional Causal Models with Generative Neural Networks
Hugo Jair Escalante
Sergio Escalera
Xavier Baro
Isabelle M Guyon
Umut Güçlü
Marcel van Gerven
CMLBDL
342
110
0
15 Sep 2017
MODNet: Moving Object Detection Network with Motion and Appearance for
  Autonomous Driving
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
Mennatullah Siam
Heba Mahgoub
Mohamed Zahran
S. Yogamani
Martin Jägersand
Ahmad El-Sallab
135
48
0
14 Sep 2017
Deep Object-Centric Representations for Generalizable Robot Learning
Deep Object-Centric Representations for Generalizable Robot LearningIEEE International Conference on Robotics and Automation (ICRA), 2017
Coline Devin
Pieter Abbeel
Trevor Darrell
Sergey Levine
SSLOCL
217
117
0
14 Aug 2017
Deep Steering: Learning End-to-End Driving Model from Spatial and
  Temporal Visual Cues
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues
Lu Chi
Yadong Mu
LLMSV
104
112
0
12 Aug 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
309
175
0
08 Jul 2017
IDK Cascades: Fast Deep Learning by Learning not to Overthink
IDK Cascades: Fast Deep Learning by Learning not to OverthinkConference on Uncertainty in Artificial Intelligence (UAI), 2017
Xin Wang
Yujia Luo
D. Crankshaw
Alexey Tumanov
Fisher Yu
Joseph E. Gonzalez
229
122
0
03 Jun 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Learning End-to-end Multimodal Sensor Policies for Autonomous NavigationConference on Robot Learning (CoRL), 2017
Guan-Horng Liu
Avinash Siravuru
Sai P. Selvaraj
Manuela Veloso
George Kantor
162
71
0
30 May 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
314
860
0
18 Apr 2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
OffRL
305
348
0
13 Apr 2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal
  Attention
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
Jinkyu Kim
John F. Canny
FAttXAIOODMILMCML
190
351
0
30 Mar 2017
Feature Analysis and Selection for Training an End-to-End Autonomous
  Vehicle Controller Using the Deep Learning Approach
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach
Shun Yang
Wenshuo Wang
Chang-rui Liu
W. Deng
J. Hedrick
97
44
0
28 Mar 2017
LIDAR-based Driving Path Generation Using Fully Convolutional Neural
  Networks
LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks
Luca Caltagirone
M. Bellone
Lennart Svensson
M. Wahde
3DPC
183
63
0
27 Mar 2017
Combining Neural Networks and Tree Search for Task and Motion Planning
  in Challenging Environments
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments
Chris Paxton
Vasumathi Raman
Gregory Hager
Marin Kobilarov
149
126
0
22 Mar 2017
Brain Inspired Cognitive Model with Attention for Self-Driving Cars
Brain Inspired Cognitive Model with Attention for Self-Driving CarsIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2017
Shi-tao Chen
Songyi Zhang
Jinghao Shang
Badong Chen
N. Zheng
116
124
0
18 Feb 2017
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