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DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

1 May 2015
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
ArXivPDFHTML

Papers citing "DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving"

50 / 265 papers shown
Title
Learning from All Vehicles
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
53
178
0
22 Mar 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
Dhruv Shah
Sergey Levine
132
66
0
23 Feb 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
29
8
0
21 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep
  Learning Models
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
45
14
0
31 Jan 2022
Boundary Defense Against Black-box Adversarial Attacks
Boundary Defense Against Black-box Adversarial Attacks
Manjushree B. Aithal
Xiaohua Li
AAML
28
6
0
31 Jan 2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural
  Networks
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Mingfu Xue
S. Ni
Ying-Chang Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
39
13
0
31 Jan 2022
Object Detection in Autonomous Vehicles: Status and Open Challenges
Object Detection in Autonomous Vehicles: Status and Open Challenges
Abhishek Balasubramaniam
S. Pasricha
47
54
0
19 Jan 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
215
345
0
15 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
24
57
0
13 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision
  Exploit
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
30
9
0
10 Dec 2021
Causal Imitative Model for Autonomous Driving
Causal Imitative Model for Autonomous Driving
Mohammad Reza Samsami
Mohammadhossein Bahari
Saber Salehkaleybar
Alexandre Alahi
CML
21
12
0
07 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in
  High-Fidelity Simulation
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Ziyuan Zhong
Yun Tang
Yuan Zhou
V. Neves
Yang Liu
Baishakhi Ray
50
61
0
02 Dec 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
41
54
0
19 Nov 2021
Complex Terrain Navigation via Model Error Prediction
Complex Terrain Navigation via Model Error Prediction
A. Polevoy
Craig Knuth
K. Popek
Kapil D. Katyal
11
16
0
18 Nov 2021
Single Image Deraining Network with Rain Embedding Consistency and
  Layered LSTM
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
Yizhou Li
Yusuke Monno
Masatoshi Okutomi
34
30
0
05 Nov 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 Herbert
59
14
0
14 Oct 2021
Marginally calibrated response distributions for end-to-end learning in
  autonomous driving
Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann
Nadja Klein
21
2
0
03 Oct 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning
  to Segment Driveability in Egocentric Images
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux
Letizia Marchegiani
T. Moeslund
Rikke Gade
SSeg
EgoV
39
15
0
15 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Arnav V. Malawade
S. Yu
Brandon Hsu
Harsimrat Kaeley
Anurag Karra
Mohammad Abdullah Al Faruque
GNN
29
26
0
02 Sep 2021
Exploring Structure Consistency for Deep Model Watermarking
Exploring Structure Consistency for Deep Model Watermarking
Jie Zhang
Dongdong Chen
Jing Liao
Han Fang
Zehua Ma
Weiming Zhang
G. Hua
Nenghai Yu
AAML
24
4
0
05 Aug 2021
Imbalanced Adversarial Training with Reweighting
Imbalanced Adversarial Training with Reweighting
Wentao Wang
Han Xu
Xiaorui Liu
Yaxin Li
B. Thuraisingham
Jiliang Tang
37
16
0
28 Jul 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
Peter A. Beerel
55
27
0
26 Jul 2021
Learned Visual Navigation for Under-Canopy Agricultural Robots
Learned Visual Navigation for Under-Canopy Agricultural Robots
A. N. Sivakumar
Sahil Modi
M. V. Gasparino
Che Ellis
A. E. B. Velasquez
Girish Chowdhary
Saurabh Gupta
30
49
0
06 Jul 2021
Learning by Watching
Learning by Watching
Jimuyang Zhang
Eshed Ohn-Bar
EgoV
41
33
0
10 Jun 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
35
10
0
24 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma
Matthew B. Blaschko
28
34
0
10 May 2021
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via
  Semantic Prior
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Kaihao Zhang
Wenhan Luo
Yanjiang Yu
Wenqi Ren
Fang Zhao
Changsheng Li
Lin Ma
Wei Liu
Hongdong Li
35
59
0
09 May 2021
Quality Assurance Challenges for Machine Learning Software Applications
  During Software Development Life Cycle Phases
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
Md. Abdullah Al Alamin
Gias Uddin
37
11
0
03 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency
  Inference
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Xiaocong Chen
Lina Yao
Xianzhi Wang
Aixin Sun
Wenjie Zhang
Quan Z. Sheng
22
8
0
03 May 2021
Deep Neural Networks Based Weight Approximation and Computation Reuse
  for 2-D Image Classification
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification
M. Tolba
H. Tesfai
H. Saleh
B. Mohammad
Mahmoud Al-Qutayri
29
4
0
28 Apr 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using
  Telemetry Data
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda
Sarah Krebs
Eduardo E. Veas
Granit Luzhnica
Roman Kern
OffRL
37
23
0
22 Apr 2021
Dynamic Fusion Network For Light Field Depth Estimation
Dynamic Fusion Network For Light Field Depth Estimation
Yongri Piao
Yukun Zhang
Miao Zhang
Xinxin Ji
MDE
38
8
0
13 Apr 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
Consistency Regularization for Adversarial Robustness
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
Sung Ju Hwang
Jinwoo Shin
AAML
41
57
0
08 Mar 2021
Deep Learning for Scene Classification: A Survey
Deep Learning for Scene Classification: A Survey
Delu Zeng
Minyu Liao
M. Tavakolian
Yulan Guo
Bolei Zhou
D. Hu
M. Pietikäinen
Li Liu
VLM
38
27
0
26 Jan 2021
Deep Compression of Neural Networks for Fault Detection on Tennessee
  Eastman Chemical Processes
Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes
Mingxuan Li
Yuanxun Shao
9
2
0
18 Jan 2021
End-to-end Interpretable Neural Motion Planner
End-to-end Interpretable Neural Motion Planner
Wenyuan Zeng
Wenjie Luo
Simon Suo
Abbas Sadat
Binh Yang
Sergio Casas
R. Urtasun
3DV
25
402
0
17 Jan 2021
NetCut: Real-Time DNN Inference Using Layer Removal
NetCut: Real-Time DNN Inference Using Layer Removal
Mehrshad Zandigohar
Deniz Erdogmus
G. Schirner
17
5
0
13 Jan 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
53
170
0
13 Jan 2021
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand
  Authenticity of CNN
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
A. Abuadbba
Hyoungshick Kim
Surya Nepal
30
16
0
12 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep
  Learning
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
61
19
0
04 Jan 2021
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by
  Strict Layer-Output Manipulation for Adversarial Attacks
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
Chenchen Zhao
Hao Li
AAML
30
0
0
21 Dec 2020
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement
  Learning
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning
M. Tran
N. Ly
18
1
0
21 Dec 2020
CARLA Real Traffic Scenarios -- novel training ground and benchmark for
  autonomous driving
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving
B. Osinski
Piotr Milos
Adam Jakubowski
Pawel Ziecina
Michal Martyniak
Christopher Galias
Antonia Breuer
S. Homoceanu
Henryk Michalewski
25
20
0
16 Dec 2020
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
38
121
0
14 Dec 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
463
0
17 Nov 2020
Reactive motion planning with probabilistic safety guarantees
Reactive motion planning with probabilistic safety guarantees
Yuxiao Chen
Ugo Rosolia
Chuchu Fan
Aaron D. Ames
R. Murray
32
32
0
06 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
25
49
0
05 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
38
14
0
04 Nov 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang
Yangzhou Jiang
Xiaoyang Huang
Bingbing Ni
Chenglong Zhao
AAML
18
81
0
21 Oct 2020
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