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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
Learning to Simulate Realistic LiDARs
Learning to Simulate Realistic LiDARs
Benoît Guillard
Sai H. Vemprala
Jayesh K. Gupta
O. Mikšík
Vibhav Vineet
Pascal Fua
Ashish Kapoor
3DPC
11
18
0
22 Sep 2022
Enhanced Decentralized Federated Learning based on Consensus in
  Connected Vehicles
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Xiaoyan Liu
Zehui Dong
Zhiwei Xu
Siyuan Liu
Jie Tian
24
5
0
22 Sep 2022
Efficient Perception, Planning, and Control Algorithm for Vision-Based
  Automated Vehicles
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles
Der-Hau Lee
27
5
0
15 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear
  Function Approximation
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Xiaoteng Ma
Zhipeng Liang
Jose H. Blanchet
MingWen Liu
Li Xia
Jiheng Zhang
Qianchuan Zhao
Zhengyuan Zhou
OOD
OffRL
41
22
0
14 Sep 2022
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Behnam Mohammadi
Nikhil Malik
Timothy P. Derdenger
K. Srinivasan
25
1
0
07 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViT
OffRL
35
33
0
24 Aug 2022
Perspectives on the System-level Design of a Safe Autonomous Driving
  Stack
Perspectives on the System-level Design of a Safe Autonomous Driving Stack
Majd Hawasly
Jonathan Sadeghi
Morris Antonello
Stefano V. Albrecht
John Redford
S. Ramamoorthy
11
4
0
29 Jul 2022
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu
Li Chen
Peng Wu
Hongyang Li
Junchi Yan
Dacheng Tao
31
226
0
15 Jul 2022
mAPN: Modeling, Analysis, and Exploration of Algorithmic and Parallelism
  Adaptivity
mAPN: Modeling, Analysis, and Exploration of Algorithmic and Parallelism Adaptivity
Hasna Bouraoui
Chadlia Jerad
Omar Romdhani
J. Castrillón
11
0
0
15 Jul 2022
LiDAR-as-Camera for End-to-End Driving
LiDAR-as-Camera for End-to-End Driving
Ardi Tampuu
Romet Aidla
J. Gent
Tambet Matiisen
30
19
0
30 Jun 2022
Formalizing and Evaluating Requirements of Perception Systems for
  Automated Vehicles using Spatio-Temporal Perception Logic
Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic
Mohammad Hekmatnejad
Bardh Hoxha
Jyotirmoy V. Deshmukh
Yezhou Yang
Georgios Fainekos
26
6
0
29 Jun 2022
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth
  Estimation
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation
M. Vankadari
Stuart Golodetz
Sourav Garg
Sangyun Shin
Andrew Markham
Niki Trigoni
11
24
0
28 Jun 2022
Machine vision for vial positioning detection toward the safe automation
  of material synthesis
Machine vision for vial positioning detection toward the safe automation of material synthesis
Leslie Ching Ow Tiong
H. Yoo
Namho Kim
Kwan-Young Lee
S. Han
Donghun Kim
AAML
24
1
0
15 Jun 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize
  Offline Reinforcement Learning
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
Shentao Yang
Yihao Feng
Shujian Zhang
Mi Zhou
OffRL
40
12
0
14 Jun 2022
What is Your Metric Telling You? Evaluating Classifier Calibration under
  Context-Specific Definitions of Reliability
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability
John Kirchenbauer
Jacob Oaks
Eric Heim
UQCV
36
4
0
23 May 2022
Pessimism for Offline Linear Contextual Bandits using $\ell_p$
  Confidence Sets
Pessimism for Offline Linear Contextual Bandits using ℓp\ell_pℓp​ Confidence Sets
Gen Li
Cong Ma
Nathan Srebro
OffRL
36
11
0
21 May 2022
Emergent Visual Sensors for Autonomous Vehicles
Emergent Visual Sensors for Autonomous Vehicles
You Li
Julien Moreau
J. Ibañez-Guzmán
47
28
0
19 May 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
Jonathan M Francis
Bingqing Chen
Siddha Ganju
Sidharth Kathpal
Jyotish Poonganam
...
Ivan Zhukov
Max Kumskoy
Anirudh Koul
Jean Oh
Eric Nyberg
21
12
0
05 May 2022
An Empirical Analysis of the Use of Real-Time Reachability for the
  Safety Assurance of Autonomous Vehicles
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles
Patrick Musau
Nathaniel P. Hamilton
Diego Manzanas Lopez
Preston K. Robinette
Taylor T. Johnson
27
0
0
03 May 2022
A Survey on Uncertainty Toolkits for Deep Learning
A Survey on Uncertainty Toolkits for Deep Learning
Maximilian Pintz
Joachim Sicking
Maximilian Poretschkin
Maram Akila
ELM
36
6
0
02 May 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable
  Environment by Hierarchical Contingency Planning
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
Ugo Lecerf
Christelle Yemdji Tchassi
Pietro Michiardi
30
1
0
13 Apr 2022
Automatically Learning Fallback Strategies with Model-Free Reinforcement
  Learning in Safety-Critical Driving Scenarios
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios
Ugo Lecerf
Christelle Yemdji Tchassi
S. Aubert
Pietro Michiardi
24
0
0
11 Apr 2022
Perceive, Represent, Generate: Translating Multimodal Information to
  Robotic Motion Trajectories
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
Fábio Vital
Miguel Vasco
Alberto Sardinha
Francisco S. Melo
29
0
0
06 Apr 2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
Peizhao Li
Puzuo Wang
K. Berntorp
Hongfu Liu
21
43
0
03 Apr 2022
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for
  Autonomous Driving
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving
Danfeng Wang
Xinlong Ma
Xiaodong Yang
27
4
0
28 Mar 2022
Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing
  Behavior
Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing Behavior
Amir Rasouli
Iuliia Kotseruba
12
6
0
14 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen
Ningfei Wang
Ziwen Wan
Yunpeng Luo
Takami Sato
...
Zhenyu Zhong
Kang Li
Ziming Zhao
Chunming Qiao
Qi Alfred Chen
AAML
23
40
0
10 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
33
40
0
07 Mar 2022
Cyber Mobility Mirror: A Deep Learning-based Real-World Object
  Perception Platform Using Roadside LiDAR
Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR
Zhengwei Bai
Saswat Priyadarshi Nayak
Xuanpeng Zhao
Guoyuan Wu
Matthew Barth
Xuewei Qi
Yongkang Liu
E. A. Sisbot
K. Oguchi
18
9
0
28 Feb 2022
A Behavior Regularized Implicit Policy for Offline Reinforcement
  Learning
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning
Shentao Yang
Zhendong Wang
Huangjie Zheng
Yihao Feng
Mingyuan Zhou
OffRL
22
8
0
19 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
Learning Interpretable, High-Performing Policies for Autonomous Driving
Rohan R. Paleja
Yaru Niu
Andrew Silva
Chace Ritchie
Sugju Choi
Matthew C. Gombolay
27
16
0
04 Feb 2022
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
Fei Gao
Peng Geng
Jiaqi Guo
YuanQiang Liu
Dingfeng Guo
Yabo Su
Jie Zhou
Xiao Wei
Jin Li
Xu Liu
11
9
0
29 Jan 2022
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability
  in Autonomous Driving Planning under Physical-World Attacks
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks
Ziwen Wan
Junjie Shen
Jalen Chuang
Xin Xia
Joshua Garcia
Jiaqi Ma
Qi Alfred Chen
AAML
21
31
0
12 Jan 2022
Modeling Human Driver Interactions Using an Infinite Policy Space
  Through Gaussian Processes
Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes
Cem Okan Yaldiz
Y. Yildiz
19
0
0
03 Jan 2022
Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
27
128
0
21 Dec 2021
Multi-task UNet architecture for end-to-end autonomous driving
Multi-task UNet architecture for end-to-end autonomous driving
Der-Hau Lee
Jinn-Liang Liu
19
1
0
16 Dec 2021
Perception and Sensing for Autonomous Vehicles Under Adverse Weather
  Conditions: A Survey
Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey
Yuxiao Zhang
Alexander Carballo
Hanting Yang
K. Takeda
32
274
0
16 Dec 2021
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
Yongkang Liu
Ziran Wang
Kyungtae Han
Zhenyu Shou
Prashant Tiwari
J. Hansen
10
45
0
07 Dec 2021
A Survey of Deep Learning for Low-Shot Object Detection
A Survey of Deep Learning for Low-Shot Object Detection
Qihan Huang
Haofei Zhang
Mengqi Xue
Mingli Song
Xiuming Zhang
ObjD
38
18
0
06 Dec 2021
Improving traffic sign recognition by active search
Improving traffic sign recognition by active search
Sami Jaghouar
Hannes Gustafsson
Bernhard Mehlig
Erik Werner
N. Gustafsson
27
0
0
29 Nov 2021
Towards Safe, Explainable, and Regulated Autonomous Driving
Towards Safe, Explainable, and Regulated Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
35
11
0
20 Nov 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for
  Certified Robustness
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Sejun Park
Minkyu Kim
Heung-Chang Lee
Do-Guk Kim
Jinwoo Shin
AAML
31
55
0
17 Nov 2021
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong
Matthew A. Garratt
S. Anavatti
H. Abbass
17
98
0
16 Nov 2021
Yaw-Guided Imitation Learning for Autonomous Driving in Urban
  Environments
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments
Yandong Liu
Chengzhong Xu
Hui Kong
21
0
0
11 Nov 2021
Bayesian Optimization and Deep Learning forsteering wheel angle
  prediction
Bayesian Optimization and Deep Learning forsteering wheel angle prediction
Alessandro Riboni
Nicolò Ghioldi
Antonio Candelieri
M. Borrotti
LLMSV
19
10
0
22 Oct 2021
A Versatile and Efficient Reinforcement Learning Framework for
  Autonomous Driving
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving
Guan-Bo Wang
Haoyi Niu
Desheng Zhu
Jianming Hu
Xianyuan Zhan
Guyue Zhou
OffRL
24
2
0
22 Oct 2021
Motion Planning for Connected Automated Vehicles at Occluded
  Intersections With Infrastructure Sensors
Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors
Johannes Müller
Jan Strohbeck
M. Herrmann
M. Buchholz
51
32
0
21 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for
  Semantic Segmentation
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
Youngeun Kim
Joshua Chough
Priyadarshini Panda
40
79
0
14 Oct 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
56
14
0
14 Oct 2021
Characterizing and Demystifying the Implicit Convolution Algorithm on
  Commercial Matrix-Multiplication Accelerators
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators
Yangjie Zhou
Mengtian Yang
Cong Guo
Jingwen Leng
Yun Liang
Quan Chen
M. Guo
Yuhao Zhu
32
33
0
08 Oct 2021
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