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CARLA: An Open Urban Driving Simulator

CARLA: An Open Urban Driving Simulator

10 November 2017
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
    VLM
ArXivPDFHTML

Papers citing "CARLA: An Open Urban Driving Simulator"

50 / 793 papers shown
Title
Embodied Visual Active Learning for Semantic Segmentation
Embodied Visual Active Learning for Semantic Segmentation
David Nilsson
Aleksis Pirinen
Erik Gartner
C. Sminchisescu
42
35
0
17 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
17
20
0
16 Dec 2020
Learning Collision-Free Space Detection from Stereo Images: Homography
  Matrix Brings Better Data Augmentation
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation
Rui Fan
Hengli Wang
Peide Cai
Jin Wu
M. J. Bocus
Lei Qiao
Ming-Yu Liu
35
44
0
14 Dec 2020
Digital Twins Are Not Monozygotic -- Cross-Replicating ADAS Testing in
  Two Industry-Grade Automotive Simulators
Digital Twins Are Not Monozygotic -- Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
Markus Borg
Raja Ben Abdessalem
S. Nejati
Francois-Xavier Jegeden
Donghwan Shin
31
32
0
12 Dec 2020
Cirrus: A Long-range Bi-pattern LiDAR Dataset
Cirrus: A Long-range Bi-pattern LiDAR Dataset
Ze Wang
Sihao Ding
Y. Li
J. Fenn
Sohini Roychowdhury
Andreas Wallin
Lane Martin
Scott Ryvola
Guillermo Sapiro
Qiang Qiu
3DPC
3DV
22
27
0
05 Dec 2020
Self-Supervised Real-to-Sim Scene Generation
Self-Supervised Real-to-Sim Scene Generation
Aayush Prakash
Shoubhik Debnath
Jean-Francois Lafleche
Eric Cameracci
Gavriel State
Stan Birchfield
M. Law
35
26
0
30 Nov 2020
There and Back Again: Learning to Simulate Radar Data for Real-World
  Applications
There and Back Again: Learning to Simulate Radar Data for Real-World Applications
Rob Weston
Oiwi Parker Jones
Ingmar Posner
23
18
0
29 Nov 2020
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset
  for Intelligent Vehicles
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
Yafu Tian
Alexander Carballo
Ruifeng Li
K. Takeda
GNN
28
27
0
27 Nov 2020
An Autonomous Driving Framework for Long-term Decision-making and
  Short-term Trajectory Planning on Frenet Space
An Autonomous Driving Framework for Long-term Decision-making and Short-term Trajectory Planning on Frenet Space
Majid Moghadam
G. Elkaim
9
26
0
26 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
223
0
20 Nov 2020
Demonstrations of Cooperative Perception: Safety and Robustness in
  Connected and Automated Vehicle Operations
Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations
Mao Shan
K. Narula
Ricky Wong
Stewart Worrall
Malik Khan
P. Alexander
E. Nebot
14
82
0
17 Nov 2020
Feature Sharing and Integration for Cooperative Cognition and Perception
  with Volumetric Sensors
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
Ehsan Emad Marvasti
Arash Raftari
Amir Emad Marvasti
Y. P. Fallah
Rui Guo
Hongsheng Lu
24
12
0
16 Nov 2020
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic
  Scenarios with Graph Neural Networks
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
16
14
0
13 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
21
132
0
12 Nov 2020
Simulating Autonomous Driving in Massive Mixed Urban Traffic
Simulating Autonomous Driving in Massive Mixed Urban Traffic
Yuanfu Luo
Panpan Cai
Yiyuan Lee
David Hsu
19
3
0
11 Nov 2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Shinya Shiroshita
Shirou Maruyama
D. Nishiyama
M. Castro
Karim Hamzaoui
Guy Rosman
Jonathan A. DeCastro
Kuan-Hui Lee
Adrien Gaidon
26
18
0
11 Nov 2020
Trajectory Planning for Autonomous Vehicles Using Hierarchical
  Reinforcement Learning
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Kaleb Ben Naveed
Zhiqian Qiao
John M. Dolan
9
55
0
09 Nov 2020
Multimodal Trajectory Prediction via Topological Invariance for
  Navigation at Uncontrolled Intersections
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
Junha Roh
Christoforos Mavrogiannis
Rishabh Madan
Dieter Fox
S. Srinivasa
21
29
0
08 Nov 2020
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene
  Understanding
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Mike Roberts
Jason Ramapuram
Anurag Ranjan
Atulit Kumar
Miguel Angel Bautista
Nathan Paczan
Russ Webb
Joshua M. Susskind
45
368
0
04 Nov 2020
Wide-angle Image Rectification: A Survey
Wide-angle Image Rectification: A Survey
Jinlong Fan
Jing Zhang
Stephen J. Maybank
Dacheng Tao
16
18
0
30 Oct 2020
Behavioral decision-making for urban autonomous driving in the presence
  of pedestrians using Deep Recurrent Q-Network
Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network
Niranjan Deshpande
Dominique Vaufreydaz
A. Spalanzani
19
17
0
26 Oct 2020
Safe planning and control under uncertainty for self-driving
Safe planning and control under uncertainty for self-driving
Shivesh Khaitan
Qin Lin
John M. Dolan
34
27
0
21 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
Berta Bescós
Cesar Cadena
José Neira
22
26
0
15 Oct 2020
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic
  Video with Applications for Virtual Reality
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
Alisha Sharma
Ryan Nett
Jonathan Ventura
MDE
28
16
0
14 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont
Edward J. Kim
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
29
97
0
13 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
19
267
0
30 Sep 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
37
431
0
25 Sep 2020
A Modeled Approach for Online Adversarial Test of Operational Vehicle
  Safety (extended version)
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety (extended version)
L. Capito
Bowen Weng
Ü. Özgüner
Keith A. Redmill
9
11
0
25 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Bo-wen Li
Kim Ji Eun
Ding Zhao
AAML
16
99
0
16 Sep 2020
Flightmare: A Flexible Quadrotor Simulator
Flightmare: A Flexible Quadrotor Simulator
Yunlong Song
Selim Naji
Elia Kaufmann
Antonio Loquercio
Davide Scaramuzza
15
173
0
01 Sep 2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
Sandhya Saisubramanian
S. Zilberstein
Ece Kamar
9
21
0
24 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and
  Sparse Sensor Data
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
37
44
0
03 Aug 2020
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation
  and on Real Robots
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
Ben Talbot
David Hall
Haoyang Zhang
S. Bista
Rohan Smith
Feras Dayoub
Niko Sünderhauf
31
15
0
03 Aug 2020
Pixel-wise Crowd Understanding via Synthetic Data
Pixel-wise Crowd Understanding via Synthetic Data
Wang Qi
Junyu Gao
Lin Wei
Yuan. Yuan
33
117
0
30 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
161
155
0
23 Jul 2020
Privacy Preserving Visual SLAM
Privacy Preserving Visual SLAM
Mikiya Shibuya
Shinya Sumikura
Ken Sakurada
3DPC
16
26
0
20 Jul 2020
Sensor Fusion of Camera and Cloud Digital Twin Information for
  Intelligent Vehicles
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
Yongkang Liu
Ziran Wang
Kyungtae Han
Zhenyu Shou
Prashant Tiwari
J. Hansen
10
59
0
08 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
81
864
0
05 Jul 2020
Reinforcement Learning based Control of Imitative Policies for
  Near-Accident Driving
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
31
65
0
01 Jul 2020
Learning Invariant Representations for Reinforcement Learning without
  Reconstruction
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
40
461
0
18 Jun 2020
Drift with Devil: Security of Multi-Sensor Fusion based Localization in
  High-Level Autonomous Driving under GPS Spoofing (Extended Version)
Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)
Junjie Shen
Jun Yeon Won
Zeyuan Chen
Qi Alfred Chen
AAML
11
122
0
18 Jun 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
S. Manivasagam
Shenlong Wang
K. Wong
Wenyuan Zeng
Mikita Sazanovich
Shuhan Tan
Binh Yang
Wei-Chiu Ma
R. Urtasun
3DPC
28
221
0
16 Jun 2020
Domain Adaptation with Morphologic Segmentation
Domain Adaptation with Morphologic Segmentation
Jonathan Klein
Soren Pirk
D. L. Michels
18
0
0
16 Jun 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
62
33
0
16 Jun 2020
A Taxonomy and Review of Algorithms for Modeling and Predicting Human
  Driver Behavior
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Kyle Brown
Katherine Driggs-Campbell
Mykel J. Kochenderfer
22
19
0
15 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
19
25
0
08 Jun 2020
From Real to Synthetic and Back: Synthesizing Training Data for
  Multi-Person Scene Understanding
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
Igor Kviatkovsky
Nadav Bhonker
Gérard Medioni
33
3
0
03 Jun 2020
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of
  Agent Futures
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures
Allen Wang
Xin Huang
A. Jasour
B. Williams
14
32
0
27 May 2020
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end
  Autonomous Driving with Scene Understanding
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang
Chen Lv
Yang Xing
Jingda Wu
9
128
0
19 May 2020
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