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  4. Cited By
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing
  the Worst

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

7 December 2018
Mayank Bansal
A. Krizhevsky
A. Ogale
    OOD
ArXivPDFHTML

Papers citing "ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst"

50 / 186 papers shown
Title
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous
  Driving
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Xuanchi Ren
Tao Yang
Erran L. Li
Alexandre Alahi
Qifeng Chen
30
24
0
03 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
29
26
0
02 Sep 2021
Decoder Fusion RNN: Context and Interaction Aware Decoders for
  Trajectory Prediction
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
Edoardo Mello Rella
Jan-Nico Zaech
Alexander Liniger
Luc Van Gool
AI4CE
27
14
0
12 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
35
39
0
11 Aug 2021
Autonomy 2.0: Why is self-driving always 5 years away?
Autonomy 2.0: Why is self-driving always 5 years away?
Ashesh Jain
Luca Del Pero
Hugo Grimmett
Peter Ondruska
21
44
0
16 Jul 2021
Reinforcement Learning based Negotiation-aware Motion Planning of
  Autonomous Vehicles
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
Zhitao Wang
Yuzheng Zhuang
Qiang Gu
Dong Chen
Hongbo Zhang
Wulong Liu
22
9
0
08 Jul 2021
NuPlan: A closed-loop ML-based planning benchmark for autonomous
  vehicles
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Holger Caesar
Juraj Kabzan
Kok Seang Tan
Whye Kit Fong
Eric M. Wolff
A. Lang
L. Fletcher
Oscar Beijbom
Sammy Omari
43
274
0
22 Jun 2021
Learning by Watching
Learning by Watching
Jimuyang Zhang
Eshed Ohn-Bar
EgoV
41
33
0
10 Jun 2021
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
98
116
0
03 May 2021
Physically Feasible Vehicle Trajectory Prediction
Physically Feasible Vehicle Trajectory Prediction
Harshayu Girase
Jerrick Hoang
S. Yalamanchi
Micol Marchetti-Bowick
33
10
0
29 Apr 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash
Kashyap Chitta
Andreas Geiger
ViT
51
510
0
19 Apr 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for
  Autonomous Driving
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
Zhiyu Huang
Jingda Wu
Chen Lv
21
133
0
19 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving
  via Virtual Safety Cages
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Sampo Kuutti
Richard Bowden
Saber Fallah
40
14
0
17 Mar 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Mohammadhossein Bahari
Ismail Nejjar
Alexandre Alahi
28
49
0
08 Mar 2021
Learning to Predict Vehicle Trajectories with Model-based Planning
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song
Di Luan
Wenchao Ding
M. Y. Wang
Qifeng Chen
24
119
0
06 Mar 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting
TPCN: Temporal Point Cloud Networks for Motion Forecasting
Maosheng Ye
Tongyi Cao
Qifeng Chen
3DPC
15
145
0
04 Mar 2021
Exploring Imitation Learning for Autonomous Driving with Feedback
  Synthesizer and Differentiable Rasterization
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou
Rui Wang
Xu Liu
Yifei Jiang
Shu Jiang
J. Tao
Jinghao Miao
Shiyu Song
46
35
0
02 Mar 2021
Diverse Critical Interaction Generation for Planning and Planner
  Evaluation
Diverse Critical Interaction Generation for Planning and Planner Evaluation
Zhao-Heng Yin
Lingfeng Sun
Liting Sun
Masayoshi Tomizuka
Wei Zhan
30
21
0
01 Mar 2021
Deep Structured Reactive Planning
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
74
30
0
18 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
35
36
0
17 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
31
176
0
17 Jan 2021
SceneGen: Learning to Generate Realistic Traffic Scenes
SceneGen: Learning to Generate Realistic Traffic Scenes
Shuhan Tan
K. Wong
Shenlong Wang
S. Manivasagam
Mengye Ren
R. Urtasun
26
100
0
16 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
50
170
0
13 Jan 2021
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
34
101
0
21 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
25
20
0
16 Dec 2020
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from
  Demonstration
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration
Ji Woong Kim
Changyan He
Muller Urias
Peter L. Gehlbach
Gregory Hager
I. Iordachita
Marin Kobilarov
26
27
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
22
14
0
13 Nov 2020
MADRaS : Multi Agent Driving Simulator
MADRaS : Multi Agent Driving Simulator
Anirban Santara
S. Rudra
Sree Aditya Buridi
Meha Kaushik
A. Naik
Bharat Kaul
Balaraman Ravindran
23
30
0
02 Oct 2020
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
135
115
0
24 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Aman Sinha
Matthew O'Kelly
Russ Tedrake
John C. Duchi
44
48
0
24 Aug 2020
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive
  Strategies for Urban Autonomous Navigation
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation
Xiaoyi Chen
Pratik Chaudhari
31
4
0
17 Aug 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable
  Semantic Representations
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
3DV
38
191
0
13 Aug 2020
End-to-end Contextual Perception and Prediction with Interaction
  Transformer
End-to-end Contextual Perception and Prediction with Interaction Transformer
Lingyun Luke Li
Binh Yang
Ming Liang
Wenyuan Zeng
Mengye Ren
Sean Segal
R. Urtasun
ViT
26
117
0
13 Aug 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
34
65
0
01 Jul 2020
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and
  Semantic Point Cloud
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud
Mong H. Ng
Kaahan Radia
Jianfei Chen
Dequan Wang
Ionel Gog
Joseph E. Gonzalez
24
51
0
19 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
16
122
0
18 Jun 2020
Reinforcement Learning with Uncertainty Estimation for Tactical
  Decision-Making in Intersections
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
C. Hoel
Tommy Tram
J. Sjöberg
32
30
0
17 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
Data Driven Prediction Architecture for Autonomous Driving and its
  Application on Apollo Platform
Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform
Kecheng Xu
Xiangquan Xiao
Jinghao Miao
Qi Luo
34
27
0
11 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
54
83
0
10 Jun 2020
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images
M. Hossny
Khaled Saleh
Mohammed Attia
A. Abobakr
Julie Iskander
26
5
0
08 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
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
27
13
0
08 May 2020
DeepRacing: Parameterized Trajectories for Autonomous Racing
DeepRacing: Parameterized Trajectories for Autonomous Racing
Trent Weiss
Madhur Behl
27
15
0
06 May 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yu Liu
38
70
0
05 May 2020
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Jonah Philion
Amlan Kar
Sanja Fidler
24
68
0
19 Apr 2020
Improving Movement Predictions of Traffic Actors in Bird's-Eye View
  Models using GANs and Differentiable Trajectory Rasterization
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization
E. Wang
Henggang Cui
S. Yalamanchi
M. Moorthy
Fang-Chieh Chou
Nemanja Djuric
47
22
0
14 Apr 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware
  Probabilistic Prediction
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Yeping Hu
Wei Zhan
Masayoshi Tomizuka
26
36
0
07 Apr 2020
SimAug: Learning Robust Representations from Simulation for Trajectory
  Prediction
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
Junwei Liang
Lu Jiang
Alexander G. Hauptmann
36
18
0
04 Apr 2020
Predicting Semantic Map Representations from Images using Pyramid
  Occupancy Networks
Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks
Thomas Roddick
R. Cipolla
3DPC
33
253
0
30 Mar 2020
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