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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"

30 / 330 papers shown
Title
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object
  Reference Point Association*
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*
M. Herrmann
Aldi Piroli
Jan Strohbeck
Johannes Müller
M. Buchholz
23
4
0
11 Nov 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
Computing Systems for Autonomous Driving: State-of-the-Art and
  Challenges
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu
Sidi Lu
Ren Zhong
Baofu Wu
Yongtao Yao
Qingyan Zhang
Weisong Shi
27
267
0
30 Sep 2020
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical
  Performance Guarantee
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee
Heon Song
D. Suehiro
S. Uchida
VOT
22
2
0
19 Sep 2020
Search and Rescue with Airborne Optical Sectioning
Search and Rescue with Airborne Optical Sectioning
D. Schedl
Indrajit Kurmi
Oliver Bimber
27
35
0
18 Sep 2020
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle
  Decisions
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
S. Yu
Arnav V. Malawade
Deepan Muthirayan
Pramod P. Khargonekar
Mohammad Abdullah Al Faruque
26
79
0
31 Aug 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous
  Vehicles
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
Fei Ye
Pin Wang
Ching-yao Chan
Jiucai Zhang
14
19
0
28 Aug 2020
Action-Based Representation Learning for Autonomous Driving
Action-Based Representation Learning for Autonomous Driving
Yi Xiao
Felipe Codevilla
C. Pal
Antonio M. López
22
10
0
21 Aug 2020
Joint Object Detection and Multi-Object Tracking with Graph Neural
  Networks
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Yongxin Wang
Kris Kitani
Xinshuo Weng
VOT
35
39
0
23 Jun 2020
When We First Met: Visual-Inertial Person Localization for Co-Robot
  Rendezvous
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
Xi Sun
Xinshuo Weng
Kris Kitani
33
10
0
17 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
49
83
0
10 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed
  Classifiers
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong
Jinwoo Shin
AAML
25
88
0
07 Jun 2020
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case
  Study for Autonomous Driving
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
Jinhan Kim
Jeongil Ju
R. Feldt
S. Yoo
9
47
0
29 May 2020
Unleashing the power of disruptive and emerging technologies amid
  COVID-19: A detailed review
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Sonali Agarwal
Narinder Singh Punn
S. K. Sonbhadra
M. Tanveer
P. Nagabhushan
K. K. S. Pandian
Praveer Saxena
21
58
0
23 May 2020
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition
  in naturalistic conversations
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Cheul Young Park
Narae Cha
Soowon Kang
Auk Kim
A. Khandoker
L. Hadjileontiadis
Alice Oh
Yong Jeong
Uichin Lee
25
132
0
08 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,963
0
04 May 2020
VTGNet: A Vision-based Trajectory Generation Network for Autonomous
  Vehicles in Urban Environments
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
Peide Cai
Yuxiang Sun
Haoyu Wang
Ming Liu
19
47
0
27 Apr 2020
Enhance the performance of navigation: A two-stage machine learning
  approach
Enhance the performance of navigation: A two-stage machine learning approach
Yimin Fan
Zhiyuan Wang
Yuan-Cheng Lin
Haisheng Tan
16
3
0
02 Apr 2020
End-to-end Autonomous Driving Perception with Sequential Latent
  Representation Learning
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning
Jianyu Chen
Zhuo Xu
Masayoshi Tomizuka
BDL
30
13
0
21 Mar 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
Overview of Tools Supporting Planning for Automated Driving
Overview of Tools Supporting Planning for Automated Driving
Kailin Tong
Zlatan Ajanović
Georg Stettinger
19
28
0
09 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
M. Shafiee
Ahmadreza Jeddi
Amir Nazemi
Paul Fieguth
A. Wong
OOD
27
15
0
04 Mar 2020
An RLS-Based Instantaneous Velocity Estimator for Extended Radar
  Tracking
An RLS-Based Instantaneous Velocity Estimator for Extended Radar Tracking
N. Gosala
Xiaoli Meng
6
2
0
24 Feb 2020
Real-Time Detectors for Digital and Physical Adversarial Inputs to
  Perception Systems
Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems
Y. Kantaros
Taylor J. Carpenter
Kaustubh Sridhar
Yahan Yang
Insup Lee
James Weimer
AAML
17
12
0
23 Feb 2020
Integrating Deep Reinforcement Learning with Model-based Path Planners
  for Automated Driving
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving
Ekim Yurtsever
L. Capito
Keith A. Redmill
Ü. Özgüner
16
18
0
02 Feb 2020
Developments in Modern GNSS and Its Impact on Autonomous Vehicle
  Architectures
Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures
Niel Joubert
T. Reid
Fergus Noble
14
52
0
02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
52
226
0
23 Jan 2020
Review of Learning-based Longitudinal Motion Planning for Autonomous
  Vehicles: Research Gaps between Self-driving and Traffic Congestion
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion
Hao Zhou
Jorge A. Laval
Anye Zhou
Yu Wang
W. Wu
Zhuo Qing
S. Peeta
18
37
0
02 Oct 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
72
5,583
0
26 Mar 2019
A Framework for Estimating Long Term Driver Behavior
A Framework for Estimating Long Term Driver Behavior
V. Gadepally
A. Krishnamurthy
19
17
0
11 Jul 2016
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