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Explaining How a Deep Neural Network Trained with End-to-End Learning
  Steers a Car

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

25 April 2017
Mariusz Bojarski
Philip Yeres
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
ArXivPDFHTML

Papers citing "Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car"

50 / 53 papers shown
Title
Robotic Table Tennis: A Case Study into a High Speed Learning System
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng Xu
60
13
0
20 Feb 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
Zhihao Zhang
Ekim Yurtsever
Keith A. Redmill
38
0
0
28 Jan 2025
InfoDisent: Explainability of Image Classification Models by Information Disentanglement
InfoDisent: Explainability of Image Classification Models by Information Disentanglement
Łukasz Struski
Dawid Rymarczyk
Jacek Tabor
59
1
0
16 Sep 2024
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Huy-Dung Nguyen
Anass Bairouk
Mirjana Maras
Wei Xiao
Tsun-Hsuan Wang
Patrick Chareyre
Ramin Hasani
Marc Blanchon
Daniela Rus
53
1
0
16 Sep 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
72
6
0
18 Mar 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
36
49
0
16 Feb 2024
Safety of autonomous vehicles: A survey on Model-based vs. AI-based
  approaches
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches
Dimia Iberraken
Lounis Adouane
19
1
0
29 May 2023
Label Encoding for Regression Networks
Label Encoding for Regression Networks
Deval Shah
Zihui Xue
Tor M. Aamodt
13
11
0
04 Dec 2022
Dynamic Conditional Imitation Learning for Autonomous Driving
Dynamic Conditional Imitation Learning for Autonomous Driving
Hesham M. Eraqi
Mohamed Moustafa
J. Honer
28
15
0
17 Nov 2022
Integrated Decision and Control for High-Level Automated Vehicles by
  Mixed Policy Gradient and Its Experiment Verification
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification
Yang Guan
Liye Tang
Chuanxiao Li
Shengbo Eben Li
Yangang Ren
Junqing Wei
Bo Zhang
Ke Li
23
0
0
19 Oct 2022
Generalizability Analysis of Graph-based Trajectory Predictor with
  Vectorized Representation
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation
Juanwu Lu
Wei Zhan
Masayoshi Tomizuka
Yeping Hu
22
6
0
06 Aug 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning
Paolo Maramotti
Alessandro Paolo Capasso
Giulio Bacchiani
A. Broggi
38
9
0
05 Jul 2022
MPC-Friendly Commitments for Publicly Verifiable Covert Security
MPC-Friendly Commitments for Publicly Verifiable Covert Security
Nitin Agrawal
James Bell
Adria Gascon
Matt J. Kusner
26
4
0
15 Sep 2021
Integrated Decision and Control at Multi-Lane Intersections with Mixed
  Traffic Flow
Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow
Jianhua Jiang
Yangang Ren
Yang Guan
Shengbo Eben Li
Yuming Yin
X. Jin
27
12
0
30 Aug 2021
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep
  Neural Networks
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
Gokul Krishnan
Sumit K. Mandal
Manvitha Pannala
C. Chakrabarti
Jae-sun Seo
Ümit Y. Ogras
Yu Cao
16
40
0
14 Aug 2021
Fixed-Dimensional and Permutation Invariant State Representation of
  Autonomous Driving
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
Jingliang Duan
Dongjie Yu
Shengbo Eben Li
Wenxuan Wang
Yangang Ren
Ziyu Lin
B. Cheng
30
10
0
24 May 2021
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
Qijing Huang
Minwoo Kang
Grace Dinh
Thomas Norell
Aravind Kalaiah
J. Demmel
J. Wawrzynek
Y. Shao
23
105
0
05 May 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based
  Emergency Monitoring Using Atrous Convolutional Feature Fusion
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
C. Kyrkou
T. Theocharides
43
131
0
28 Apr 2021
Convex Online Video Frame Subset Selection using Multiple Criteria for
  Data Efficient Autonomous Driving
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
Soumik Das
Harikrishna Patibandla
S. Bhattacharya
Kshounis Bera
Niloy Ganguly
Sourangshu Bhattacharya
31
0
0
24 Mar 2021
Incorporating Orientations into End-to-end Driving Model for Steering
  Control
Incorporating Orientations into End-to-end Driving Model for Steering Control
Peng Wan
Zhenbo Song
Jianfeng Lu
LLMSV
23
0
0
10 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
48
170
0
13 Jan 2021
Sim-to-real reinforcement learning applied to end-to-end vehicle control
Sim-to-real reinforcement learning applied to end-to-end vehicle control
András Kalapos
Csaba Gór
Róbert Moni
I. Harmati
24
14
0
14 Dec 2020
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road
  and Weather Conditions
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
Jyri Maanpää
Josef Taher
P. Manninen
Leo Pakola
Iaroslav Melekhov
Juha Hyyppa
12
15
0
28 Oct 2020
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End
  Imitation Learning
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation Learning
Tanmay Vilas Samak
Chinmay Vilas Samak
Sivanathan Kandhasamy
25
31
0
09 Oct 2020
Training Interpretable Convolutional Neural Networks by Differentiating
  Class-specific Filters
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyun Liang
Zhihao Ouyang
Yuyuan Zeng
Hang Su
Zihao He
Shutao Xia
Jun Zhu
Bo Zhang
16
47
0
16 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
24
39
0
01 Jul 2020
Reinforcement Learning based Control of Imitative Policies for
  Near-Accident Driving
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
34
65
0
01 Jul 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
11
128
0
19 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
23
228
0
13 Mar 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
17
2
0
09 Mar 2020
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial
  Intelligent Diagnosis
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Tianfu Li
Zhibin Zhao
Chuang Sun
Li Cheng
Xuefeng Chen
Ruqaing Yan
Ruize Gao
27
316
0
12 Nov 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving
  Models
Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Adith Boloor
Karthik Garimella
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
19
106
0
02 Oct 2019
Controlling an Autonomous Vehicle with Deep Reinforcement Learning
Controlling an Autonomous Vehicle with Deep Reinforcement Learning
A. Folkers
Matthias Rick
C. Büskens
22
67
0
24 Sep 2019
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
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road
  Vehicles
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
Konstantinos Makantasis
Maria Kontorinaki
I. Nikolos
21
32
0
10 Jul 2019
Multimodal End-to-End Autonomous Driving
Multimodal End-to-End Autonomous Driving
Yi Xiao
Felipe Codevilla
A. Gurram
O. Urfalioglu
Antonio M. López
19
240
0
07 Jun 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
24
262
0
20 Apr 2019
Simple Physical Adversarial Examples against End-to-End Autonomous
  Driving Models
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Adith Boloor
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
21
74
0
12 Mar 2019
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for
  Deep Transparent Reinforcement Learning
Towards Governing Agent's Efficacy: Action-Conditional βββ-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
29
3
0
11 Nov 2018
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine
  Collaboration in Breast Cancer Diagnosis
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis
Nesreen Ahmed
Theodore L. Willke
M. Schaar
19
32
0
30 Oct 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable
  Machine Learning Systems
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Richard J. Tomsett
Dave Braines
Daniel Harborne
Alun D. Preece
Supriyo Chakraborty
FaML
29
164
0
20 Jun 2018
Accelerating Imitation Learning with Predictive Models
Accelerating Imitation Learning with Predictive Models
Ching-An Cheng
Xinyan Yan
Evangelos A. Theodorou
Byron Boots
26
21
0
12 Jun 2018
ML + FV = $\heartsuit$? A Survey on the Application of Machine Learning
  to Formal Verification
ML + FV = ♡\heartsuit♡? A Survey on the Application of Machine Learning to Formal Verification
Moussa Amrani
L. Lucio
Adrien Bibal
28
5
0
10 Jun 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class
  Models
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models
Jacob R. Kauffmann
K. Müller
G. Montavon
DRL
42
96
0
16 May 2018
End-to-End Learning of Driving Models with Surround-View Cameras and
  Route Planners
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Simon Hecker
Dengxin Dai
Luc Van Gool
27
164
0
27 Mar 2018
Safe end-to-end imitation learning for model predictive control
Safe end-to-end imitation learning for model predictive control
Keuntaek Lee
Kamil Saigol
Evangelos A. Theodorou
BDL
24
24
0
27 Mar 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and
  Challenges
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges
Gabrielle Ras
Marcel van Gerven
W. Haselager
XAI
17
217
0
20 Mar 2018
Technical Report: When Does Machine Learning FAIL? Generalized
  Transferability for Evasion and Poisoning Attacks
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu
R. Marginean
Yigitcan Kaya
Hal Daumé
Tudor Dumitras
AAML
31
283
0
19 Mar 2018
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars
  with Visual Perception
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception
Zhengyuan Yang
Yixuan Zhang
Jerry Yu
Junjie Cai
Jiebo Luo
24
154
0
20 Jan 2018
Agile Autonomous Driving using End-to-End Deep Imitation Learning
Agile Autonomous Driving using End-to-End Deep Imitation Learning
Yunpeng Pan
Ching-An Cheng
Kamil Saigol
Keuntaek Lee
Xinyan Yan
Evangelos Theodorou
Byron Boots
34
54
0
21 Sep 2017
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