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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
Non-stationary Reinforcement Learning under General Function
  Approximation
Non-stationary Reinforcement Learning under General Function Approximation
Songtao Feng
Ming Yin
Ruiquan Huang
Yu-Xiang Wang
J. Yang
Yitao Liang
26
8
0
01 Jun 2023
TOFG: A Unified and Fine-Grained Environment Representation in
  Autonomous Driving
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
Zihao Wen
Yifan Zhang
Xinhong Chen
Jianping Wang
35
1
0
31 May 2023
Language-Guided 3D Object Detection in Point Cloud for Autonomous
  Driving
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving
Wenhao Cheng
Junbo Yin
Wei Li
Ruigang Yang
Jianbing Shen
3DPC
24
14
0
25 May 2023
Two is Better Than One: Digital Siblings to Improve Autonomous Driving
  Testing
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
Paolo Tonella
36
11
0
14 May 2023
CCIL: Context-conditioned imitation learning for urban driving
CCIL: Context-conditioned imitation learning for urban driving
Ke Guo
Wei Jing
Junbo Chen
Jia-Yu Pan
52
9
0
04 May 2023
Detection of Adversarial Physical Attacks in Time-Series Image Data
Detection of Adversarial Physical Attacks in Time-Series Image Data
Ramneet Kaur
Y. Kantaros
Wenwen Si
James Weimer
Insup Lee
AAML
21
3
0
27 Apr 2023
Transformer-based models and hardware acceleration analysis in
  autonomous driving: A survey
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
J. Zhong
Zheng Liu
Xiangshan Chen
ViT
44
17
0
21 Apr 2023
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary
  Search
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search
Andrei Kucharavy
M. Monti
R. Guerraoui
Ljiljana Dolamic
40
1
0
20 Apr 2023
Robust Route Planning with Distributional Reinforcement Learning in a
  Stochastic Road Network Environment
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Xi Lin
Paul Szenher
John D. Martin
Brendan Englot
26
2
0
19 Apr 2023
DETRs Beat YOLOs on Real-time Object Detection
DETRs Beat YOLOs on Real-time Object Detection
Yian Zhao
Wenyu Lv
Shangliang Xu
Jinman Wei
Guanzhong Wang
Qingqing Dang
Yi Liu
Cheng Cui
35
832
0
17 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
34
36
0
13 Apr 2023
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of
  Surveys
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen
Yuchen Li
Chao Huang
Bai Li
Yang Xing
...
Chen Lv
Jinjun Wang
Dongpu Cao
N. Zheng
Feiyue Wang
51
299
0
30 Mar 2023
Dual-Weight Particle Filter for Radar-Based Dynamic Bayesian Grid Maps
Dual-Weight Particle Filter for Radar-Based Dynamic Bayesian Grid Maps
M. Ronecker
M. Stolz
Daniel Watzenig
18
2
0
20 Mar 2023
Symbolic Perception Risk in Autonomous Driving
Symbolic Perception Risk in Autonomous Driving
Guangyi Liu
Disha Kamale
C. Vasile
N. Motee
33
3
0
16 Mar 2023
SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation
  for Autonomous Driving
SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
Shuai Yuan
Shuzhi Yu
Hannah Kim
Carlo Tomasi
3DPC
29
6
0
10 Mar 2023
Local Environment Poisoning Attacks on Federated Reinforcement Learning
Local Environment Poisoning Attacks on Federated Reinforcement Learning
Evelyn Ma
Praneet Rathi
Rasoul Etesami
FedML
47
4
0
05 Mar 2023
Online Black-Box Confidence Estimation of Deep Neural Networks
Online Black-Box Confidence Estimation of Deep Neural Networks
Fabian Woitschek
G. Schneider
UQCV
26
1
0
27 Feb 2023
Towards Audit Requirements for AI-based Systems in Mobility Applications
Towards Audit Requirements for AI-based Systems in Mobility Applications
Devi Alagarswamy
Christian Berghoff
Vasilios Danos
Fabian Langer
Thora Markert
Georg Schneider
Arndt von Twickel
Fabian Woitschek
23
1
0
27 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
18
19
0
22 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
35
50
0
13 Feb 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural
  Networks with Neuromorphic Data
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
Gorka Abad
Oguzhan Ersoy
S. Picek
A. Urbieta
AAML
23
17
0
13 Feb 2023
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for
  Indoor Localization
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman
Guoda Tian
Martin Larsson
Patrik Persson
Michiel Sandra
...
Fredrik Tufvesson
Karl Åström
O. Edfors
Steffen Malkowsky
Liang Liu
18
1
0
10 Feb 2023
Scaling Vision-based End-to-End Driving with Multi-View Attention
  Learning
Scaling Vision-based End-to-End Driving with Multi-View Attention Learning
Yi Xiao
Felipe Codevilla
Diego Porres
Antonio M. López
VLM
22
4
0
07 Feb 2023
ADAPT: Action-aware Driving Caption Transformer
ADAPT: Action-aware Driving Caption Transformer
Bu Jin
Xinyi Liu
Yupeng Zheng
Pengfei Li
Hao Zhao
Tong Zhang
Yuhang Zheng
Guyue Zhou
Jingjing Liu
33
69
0
01 Feb 2023
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation
Aotian Wu
Pan He
Xiao Li
Ke Chen
Sanjay Ranka
Anand Rangarajan
24
9
0
25 Jan 2023
A Mapping of Assurance Techniques for Learning Enabled Autonomous
  Systems to the Systems Engineering Lifecycle
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle
Christian Ellis
Maggie B. Wigness
L. Fiondella
40
1
0
30 Dec 2022
Circular Accessible Depth: A Robust Traversability Representation for
  UGV Navigation
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
Shikuan Xie
Ran Song
Yuenan Zhao
Xueqin Huang
Yibin Li
Wei Zhang
35
9
0
28 Dec 2022
Quality at the Tail of Machine Learning Inference
Quality at the Tail of Machine Learning Inference
Zhengxin Yang
Wanling Gao
Chunjie Luo
Lei Wang
Fei Tang
Xu Wen
Jianfeng Zhan
38
1
0
25 Dec 2022
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic
  Segmentation of 3D Point Clouds
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds
Shenglan Du
Nail Ibrahimli
J. Stoter
Julian F. P. Kooij
Liangliang Nan
3DPC
34
4
0
23 Dec 2022
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
Gustavo de Rosa
Mateus Roder
João Paulo Papa
C. F. G. Santos
36
2
0
19 Dec 2022
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception
  for 3D Object Detection
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection
Zhengwei Bai
Guoyuan Wu
Matthew Barth
Yongkang Liu
E. A. Sisbot
K. Oguchi
30
14
0
14 Dec 2022
AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin
  Ecosystem for Enhancing Autonomous Driving Research and Education
AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education
Tanmay Vilas Samak
Chinmay Vilas Samak
Sivanathan Kandhasamy
V. Krovi
Mingjuan Xie
33
23
0
10 Dec 2022
Experimental Validation of a Safe Controller Integration Scheme for
  Connected Automated Trucks
Experimental Validation of a Safe Controller Integration Scheme for Connected Automated Trucks
Anil Alan
C. He
Tamás G. Molnár
Johaan C. Mathew
A. H. Bell
G. Orosz
12
1
0
07 Dec 2022
FastCycle: A Message Sharing Framework for Modular Automated Driving
  Systems
FastCycle: A Message Sharing Framework for Modular Automated Driving Systems
Mehdi Testouri
Gamal Elghazaly
R. Frank
28
1
0
28 Nov 2022
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection
  in Semantic Segmentation
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Yuyuan Liu
Choubo Ding
Yu Tian
Guansong Pang
Vasileios Belagiannis
Ian Reid
G. Carneiro
OODD
24
37
0
26 Nov 2022
FPT: a Fixed-Point Accelerator for Torus Fully Homomorphic Encryption
FPT: a Fixed-Point Accelerator for Torus Fully Homomorphic Encryption
Michiel Van Beirendonck
Jan-Pieter DÁnvers
Furkan Turan
Ingrid Verbauwhede
28
24
0
24 Nov 2022
AutoDRIVE -- Technical Report
AutoDRIVE -- Technical Report
Tanmay Vilas Samak
Chinmay Vilas Samak
28
8
0
15 Nov 2022
Semantic 3D Grid Maps for Autonomous Driving
Semantic 3D Grid Maps for Autonomous Driving
Ajinkya Khoche
Maciej K. Wozniak
Daniel Duberg
Patric Jensfelt
3DPC
15
9
0
03 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement
  Learning
Behavior Prior Representation learning for Offline Reinforcement Learning
Hongyu Zang
Xin Li
Jie Yu
Chen Liu
Riashat Islam
Rémi Tachet des Combes
Romain Laroche
OffRL
OnRL
35
10
0
02 Nov 2022
Analyzing Deep Learning Representations of Point Clouds for Real-Time
  In-Vehicle LiDAR Perception
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Marc Uecker
Tobias Fleck
Marcel Pflugfelder
J. Marius Zöllner
3DPC
33
9
0
26 Oct 2022
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
Shubham Dokania
A. H. A. Hafez
A. Subramanian
Manmohan Chandraker
C. V. Jawahar
3DPC
29
11
0
23 Oct 2022
Exiting the Simulation: The Road to Robust and Resilient Autonomous
  Vehicles at Scale
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale
Richard Chakra
24
2
0
19 Oct 2022
Learning Control Admissibility Models with Graph Neural Networks for
  Multi-Agent Navigation
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
Chenning Yu
Hong-Den Yu
Sicun Gao
42
17
0
17 Oct 2022
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory
  Datasets for Automated Driving
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch
Florian Heidecker
Julian Truetsch
K. Kowol
Clemens Schicktanz
Maarten Bieshaar
Bernhard Sick
Christoph Stiller
17
8
0
17 Oct 2022
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge
  Devices
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices
Yimeng Zhang
A. Kamath
Qiucheng Wu
Zhiwen Fan
Wuyang Chen
Zhangyang Wang
Shiyu Chang
Sijia Liu
Cong Hao
23
6
0
16 Oct 2022
Exploring Contextual Representation and Multi-Modality for End-to-End
  Autonomous Driving
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
Shoaib Azam
Farzeen Munir
Ville Kyrki
M. Jeon
Witold Pedrycz
56
1
0
13 Oct 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement
  Learning
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos
Diogo S. Carvalho
Miguel Vasco
Alberto Sardinha
Pedro A. Santos
Ana Paiva
Francisco S. Melo
21
1
0
12 Oct 2022
A Unified Framework for Alternating Offline Model Training and Policy
  Learning
A Unified Framework for Alternating Offline Model Training and Policy Learning
Shentao Yang
Shujian Zhang
Yihao Feng
Mi Zhou
OffRL
45
17
0
12 Oct 2022
Adversarial Attack Against Image-Based Localization Neural Networks
Adversarial Attack Against Image-Based Localization Neural Networks
Meir Brand
I. Naeh
Daniel Teitelman
AAML
42
0
0
11 Oct 2022
A General Framework for Sample-Efficient Function Approximation in
  Reinforcement Learning
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen
C. J. Li
An Yuan
Quanquan Gu
Michael I. Jordan
OffRL
116
26
0
30 Sep 2022
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