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A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

12 June 2019
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
ArXivPDFHTML

Papers citing "A Survey of Autonomous Driving: Common Practices and Emerging Technologies"

50 / 330 papers shown
Title
Forming a sparse representation for visual place recognition using a
  neurorobotic approach
Forming a sparse representation for visual place recognition using a neurorobotic approach
Sylvain Colomer
N. Cuperlier
Guillaume Bresson
Olivier Romain
9
2
0
30 Sep 2021
A Reinforcement Learning Benchmark for Autonomous Driving in
  Intersection Scenarios
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
Yuqi Liu
Qichao Zhang
Dongbin Zhao
OffRL
79
13
0
22 Sep 2021
Generation of Synthetic Electronic Health Records Using a Federated GAN
Generation of Synthetic Electronic Health Records Using a Federated GAN
Jo C Weldon
T. Ward
Eoin Brophy
SyDa
42
14
0
06 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
26
26
0
02 Sep 2021
MultiSiam: Self-supervised Multi-instance Siamese Representation
  Learning for Autonomous Driving
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
Kai Chen
Lanqing Hong
Hang Xu
Zhenguo Li
Dit-Yan Yeung
SSL
8
55
0
27 Aug 2021
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and
  Spatial Video Data
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data
Suphanut Jamonnak
Ye Zhao
Xinyi Huang
Md. Amiruzzaman
35
20
0
20 Aug 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic
  Segmentation
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Donghyeon Baek
Youngmin Oh
Bumsub Ham
21
77
0
14 Aug 2021
Reimagining an autonomous vehicle
Reimagining an autonomous vehicle
Jeffrey Hawke
E. Haibo
Vijay Badrinarayanan
Alex Kendall
46
11
0
12 Aug 2021
Knowledge accumulating: The general pattern of learning
Knowledge accumulating: The general pattern of learning
Zhuoran Xu
Hao Liu
CLL
24
0
0
09 Aug 2021
Accelerating deep neural networks for efficient scene understanding in
  automotive cyber-physical systems
Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems
Stavros Nousias
Erion-Vasilis M. Pikoulis
C. Mavrokefalidis
Aris S. Lalos
AI4CE
24
4
0
19 Jul 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement
  Learning
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai
Hengli Wang
Huaiyang Huang
Yuxuan Liu
Ming Liu
19
64
0
18 Jul 2021
Prediction Surface Uncertainty Quantification in Object Detection Models
  for Autonomous Driving
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
Ferhat Ozgur Catak
T. Yue
Shaukat Ali
27
21
0
11 Jul 2021
Decision-Making Technology for Autonomous Vehicles Learning-Based
  Methods, Applications and Future Outlook
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Qi Liu
Xueyuan Li
Shihua Yuan
Zirui Li
28
60
0
02 Jul 2021
A Survey on Human-aware Robot Navigation
A Survey on Human-aware Robot Navigation
Ronja Möller
Antonino Furnari
Sebastiano Battiato
Aki Härmä
G. Farinella
44
87
0
22 Jun 2021
Design of a prototypical platform for autonomous and connected vehicles
Design of a prototypical platform for autonomous and connected vehicles
S. Arrigoni
S. Mentasti
F. Cheli
Matteo Matteucci
Francesco Braghin
11
10
0
17 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion
  based Perception in Autonomous Driving Under Physical-World Attacks
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Bo-wen Li
AAML
29
218
0
17 Jun 2021
Improving Take-over Situation by Active Communication
Improving Take-over Situation by Active Communication
Monika Sester
M. Vollrath
Hao Cheng
15
0
0
11 Jun 2021
Grand Theft App: Digital Forensics of Vehicle Assistant Apps
Grand Theft App: Digital Forensics of Vehicle Assistant Apps
Simon Ebbers
Fabian Ising
Christoph Saatjohann
Sebastian Schinzel
8
9
0
09 Jun 2021
Predicting Driver Intention Using Deep Neural Network
Predicting Driver Intention Using Deep Neural Network
Mahdi Bonyani
Mina Rahmanian
Simindokht Jahangard
14
2
0
31 May 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning
  and Control of Autonomous Vehicles
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye
Shen Zhang
Pin Wang
Ching-yao Chan
22
54
0
29 May 2021
Transferable Deep Reinforcement Learning Framework for Autonomous
  Vehicles with Joint Radar-Data Communications
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications
Nguyen Quang Hieu
D. Hoang
Dusit Niyato
Ping Wang
Dong In Kim
Chau Yuen
34
28
0
28 May 2021
3D Segmentation Learning from Sparse Annotations and Hierarchical
  Descriptors
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors
Peng Yin
Lingyun Xu
Jianmin Ji
Sebastian Scherer
Howie Choset
17
3
0
27 May 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear
  Function Approximation
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation
Zaiwei Chen
S. Khodadadian
S. T. Maguluri
OffRL
63
29
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
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
29
140
0
17 May 2021
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional
  Convolution
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
Lizhe Liu
Xiaohao Chen
Siyu Zhu
Ping Tan
32
238
0
11 May 2021
Self-Improving Semantic Perception for Indoor Localisation
Self-Improving Semantic Perception for Indoor Localisation
Hermann Blum
Francesco Milano
René Zurbrugg
Roland Siegward
Cesar Cadena
Abel Gawel
30
8
0
04 May 2021
Tackling Variabilities in Autonomous Driving
Tackling Variabilities in Autonomous Driving
Yuqiong Qi
Yang Hu
Haibin Wu
Shen Li
Haiyu Mao
Xiaochun Ye
Xiaochun Ye
Ninghui Sun
16
1
0
21 Apr 2021
Motion Prediction Performance Analysis for Autonomous Driving Systems
  and the Effects of Tracking Noise
Motion Prediction Performance Analysis for Autonomous Driving Systems and the Effects of Tracking Noise
A. Trabelsi
Ross Beveridge
Nathaniel Blanchard
25
2
0
16 Apr 2021
Near-field Perception for Low-Speed Vehicle Automation using
  Surround-view Fisheye Cameras
Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras
Ciarán Eising
Jonathan Horgan
S. Yogamani
19
45
0
31 Mar 2021
Proximally Optimal Predictive Control Algorithm for Path Tracking of
  Self-Driving Cars
Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars
Chinmay Vilas Samak
Tanmay Vilas Samak
Sivanathan Kandhasamy
LLMSV
25
8
0
24 Mar 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale
  of Pessimism
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart J. Russell
OffRL
30
277
0
22 Mar 2021
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM
  CoSTAR at the DARPA Subterranean Challenge
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
A. Agha
K. Otsu
B. Morrell
David D. Fan
Rohan Thakker
...
Giovanni Beltrame
G. Nikolakopoulos
David Hyunchul Shim
Luca Carlone
J. W. Burdick
40
142
0
21 Mar 2021
Adversarial Driving: Attacking End-to-End Autonomous Driving
Adversarial Driving: Attacking End-to-End Autonomous Driving
Han-Ching Wu
Syed Yunas
Sareh Rowlands
Wenjie Ruan
Johan Wahlstrom
AAML
17
25
0
16 Mar 2021
Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous
  Cycle Rickshaw
Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw
Damir Bojadzic
J. Kunze
Dinko Osmankovic
M. Malmir
Alois C. Knoll
14
5
0
10 Mar 2021
MapFusion: A General Framework for 3D Object Detection with HDMaps
MapFusion: A General Framework for 3D Object Detection with HDMaps
Jin Fang
Dingfu Zhou
Xibin Song
Liangjun Zhang
3DPC
22
21
0
10 Mar 2021
Explanations in Autonomous Driving: A Survey
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
11
214
0
09 Mar 2021
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud
  Registration
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration
Hao Xu
Shuaicheng Liu
Guangfu Wang
Guanghui Liu
B. Zeng
3DPC
39
147
0
01 Mar 2021
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to
  Automated Lane Centering
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
Ruochen Jiao
Hengyi Liang
Takami Sato
Junjie Shen
Qi Alfred Chen
Qi Zhu
AAML
27
14
0
27 Feb 2021
Scene Retrieval for Contextual Visual Mapping
Scene Retrieval for Contextual Visual Mapping
William H. B. Smith
Michael Milford
Klaus D. McDonald-Maier
Shoaib Ehsan
20
0
0
25 Feb 2021
Training a Resilient Q-Network against Observational Interference
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
26
14
0
18 Feb 2021
Steadily Learn to Drive with Virtual Memory
Steadily Learn to Drive with Virtual Memory
Yuhang Zhang
Yao Mu
Yujie Yang
Yang Guan
Shengbo Eben Li
Qi Sun
Jianyu Chen
25
1
0
16 Feb 2021
Simultaneous Localization and Mapping Related Datasets: A Comprehensive
  Survey
Simultaneous Localization and Mapping Related Datasets: A Comprehensive Survey
Yuanzhi Liu
Yujia Fu
Fengdong Chen
Bart Goossens
W. Tao
Hui Zhao
26
22
0
08 Feb 2021
The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging
  Robot with Visual and Haptic Perception
The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception
Alexis E. Block
Sammy Christen
R. Gassert
Otmar Hilliges
Katherine J. Kuchenbecker
16
33
0
19 Jan 2021
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes
  and Instance Segmentation
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation
B. Barbosa
N. Bhatt
A. Khajepour
Ehsan Hashemi
14
3
0
18 Jan 2021
A Survey on Simulators for Testing Self-Driving Cars
A Survey on Simulators for Testing Self-Driving Cars
Prabhjot Kaur
Samira Taghavi
Zhaofeng Tian
Weisong Shi
21
105
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
48
170
0
13 Jan 2021
Improving the Generalization of End-to-End Driving through Procedural
  Generation
Improving the Generalization of End-to-End Driving through Procedural Generation
Quanyi Li
Zhenghao Peng
Qihang Zhang
Chunxiao Liu
Bolei Zhou
18
16
0
26 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
19
20
0
16 Dec 2020
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar
  Detections in Datasets
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
Simon T. Isele
M. Schilling
Fabian E. Klein
S. Saralajew
Johann Marius Zöllner
20
3
0
03 Dec 2020
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