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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
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
Alexander Cui
Sergio Casas
K. Wong
Simon Suo
R. Urtasun
29
64
0
04 Nov 2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with
  a Mixture of Experts
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
S. Pini
C. Perone
Aayush Ahuja
Ana Ferreira
Moritz Niendorf
Sergey Zagoruyko
26
36
0
03 Nov 2022
Differentiable Constrained Imitation Learning for Robot Motion Planning
  and Control
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control
Christopher P. Diehl
Janis Adamek
Martin Krüger
F. Hoffmann
Torsten Bertram
18
4
0
21 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
56
5
0
19 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
50
58
0
18 Oct 2022
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
Haiyang Wang
Lihe Ding
Shaocong Dong
Shaoshuai Shi
Aoxue Li
Jianan Li
Zhenguo Li
Liwei Wang
3DPC
140
70
0
09 Oct 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted
  Empirical Risk Minimization
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
Eesha Kumar
Yiming Zhang
S. Pini
Simon Stent
Ana Ferreira
Sergey Zagoruyko
C. Perone
OffRL
20
1
0
05 Oct 2022
Learning from Demonstrations of Critical Driving Behaviours Using
  Driver's Risk Field
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
Yurui Du
F. S. Acerbo
Jens Kober
Tong Duy Son
34
4
0
04 Oct 2022
AG2U -- Autonomous Grading Under Uncertainties
AG2U -- Autonomous Grading Under Uncertainties
Yakov Miron
Yuval Goldfracht
Chana Ross
Dotan Di Castro
Itzik Klein
38
3
0
04 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts
Sequence Model Imitation Learning with Unobserved Contexts
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
OffRL
33
25
0
03 Aug 2022
Adaptive Decision Making at the Intersection for Autonomous Vehicles
  Based on Skill Discovery
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery
Xianqi He
Ling Yang
Chao Lu
Zirui Li
Jian-wei Gong
29
1
0
24 Jul 2022
Resolving Copycat Problems in Visual Imitation Learning via Residual
  Action Prediction
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
Chia-Chi Chuang
Donglin Yang
Chuan Wen
Yang Gao
SSL
23
12
0
20 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
229
0
15 Jul 2022
This is the Way: Differential Bayesian Filtering for Agile Trajectory
  Synthesis
This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis
Trent Weiss
Madhur Behl
34
1
0
15 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
42
55
0
28 Jun 2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with
  Relational Reasoning
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Chenxin Xu
Yuxin Wei
Bohan Tang
Sheng Yin
Ya Zhang
Siheng Chen
AI4TS
AI4CE
37
33
0
27 Jun 2022
ScePT: Scene-consistent, Policy-based Trajectory Predictions for
  Planning
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen
Boris Ivanovic
Marco Pavone
50
77
0
18 Jun 2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban
  Autonomous Driving
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving
Jinkyu Kim
R. Mahjourian
Scott Ettinger
Mayank Bansal
Brandyn White
Benjamin Sapp
Drago Anguelov
15
23
0
02 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
104
298
0
31 May 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving
  Simulation
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation
Maximilian Igl
Daewoo Kim
Alex Kuefler
Paul Mougin
Punit Shah
K. Shiarlis
Drago Anguelov
Mark Palatucci
Brandyn White
Shimon Whiteson
38
64
0
06 May 2022
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked
  Vehicles
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles
Jiaxun Cui
Hang Qiu
Dian Chen
Peter Stone
Yuke Zhu
28
112
0
04 May 2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory
  Prediction via Scene Encoding
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
Xiaosong Jia
Peng Wu
Li Chen
Yunxing Liu
Hongyang Li
Junchi Yan
32
122
0
30 Apr 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web
SelfD: Self-Learning Large-Scale Driving Policies From the Web
Jimuyang Zhang
Ruizhao Zhu
Eshed Ohn-Bar
24
20
0
21 Apr 2022
Deep Interactive Motion Prediction and Planning: Playing Games with
  Motion Prediction Models
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
J. Vázquez
Alexander Liniger
Wilko Schwarting
Daniela Rus
Luc Van Gool
29
45
0
05 Apr 2022
RBGNet: Ray-based Grouping for 3D Object Detection
RBGNet: Ray-based Grouping for 3D Object Detection
Haiyang Wang
Shaoshuai Shi
Ze Yang
Rongyao Fang
Qishu Qian
Hongsheng Li
Bernt Schiele
Liwei Wang
3DPC
45
59
0
05 Apr 2022
Towards Driving-Oriented Metric for Lane Detection Models
Towards Driving-Oriented Metric for Lane Detection Models
Takami Sato
Qi Alfred Chen
28
12
0
31 Mar 2022
An Optical Control Environment for Benchmarking Reinforcement Learning
  Algorithms
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
Abulikemu Abuduweili
Changliu Liu
24
1
0
23 Mar 2022
Learning from All Vehicles
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
50
177
0
22 Mar 2022
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
R. Mahjourian
Jinkyu Kim
Yuning Chai
Mingxing Tan
Benjamin Sapp
Drago Anguelov
40
78
0
08 Mar 2022
Quantity over Quality: Training an AV Motion Planner with Large Scale
  Commodity Vision Data
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data
Lukas Platinsky
Tayyab Naseer
Hui Chen
Benjamin A. Haines
Haoyue Zhu
Hugo Grimmett
Luca Del Pero
32
1
0
03 Mar 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction
Path-Aware Graph Attention for HD Maps in Motion Prediction
Fang Da
Yu Zhang
GNN
27
27
0
23 Feb 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in
  Dense Traffic
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
Yuqi Liu
Qichao Zhang
Dongbin Zhao
28
14
0
19 Feb 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation
  and Generalization
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Pamul Yadav
Ashutosh Mishra
Junyong Lee
Shiho Kim
OffRL
AI4CE
26
10
0
17 Feb 2022
Causal Imitation Learning under Temporally Correlated Noise
Causal Imitation Learning under Temporally Correlated Noise
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
CML
24
29
0
02 Feb 2022
Context-Aware Scene Prediction Network (CASPNet)
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer
Kun-li Zhao
Markus Bühren
A. Kummert
38
9
0
18 Jan 2022
Vision in adverse weather: Augmentation using CycleGANs with various
  object detectors for robust perception in autonomous racing
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
Izzeddin Teeti
Valentina Muşat
Salman Khan
Alexander Rast
Fabio Cuzzolin
Andrew Bradley
24
6
0
10 Jan 2022
Topology Preserving Local Road Network Estimation from Single Onboard
  Camera Image
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image
Y. Can
Alexander Liniger
D. Paudel
Luc Van Gool
41
47
0
19 Dec 2021
Causal Imitative Model for Autonomous Driving
Causal Imitative Model for Autonomous Driving
Mohammad Reza Samsami
Mohammadhossein Bahari
Saber Salehkaleybar
Alexandre Alahi
CML
21
12
0
07 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao
Qiyue Yin
Jun Yang
Tongtong Yu
S. Shen
Junge Zhang
Bin Liang
Kaiqi Huang
27
5
0
07 Dec 2021
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
24
20
0
23 Nov 2021
Multimodal Virtual Point 3D Detection
Multimodal Virtual Point 3D Detection
Tianwei Yin
Xingyi Zhou
Philipp Krahenbuhl
3DPC
160
245
0
12 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
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
Xin Huang
Guy Rosman
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
42
15
0
17 Oct 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
37
104
0
27 Sep 2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for
  Planning, Control, and Simulation
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
A. Kamenev
Lirui Wang
Ollin Boer Bohan
Ishwar Kulkarni
Bilal Kartal
Artem Molchanov
Stan Birchfield
David Nistér
Nikolai Smolyanskiy
47
40
0
23 Sep 2021
Multi-Modal Model Predictive Control through Batch Non-Holonomic
  Trajectory Optimization: Application to Highway Driving
Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving
V. K. Adajania
Aditya Sharma
Anish Gupta
Houman Masnavi
M. Krishna
A. K. Singh
73
26
0
21 Sep 2021
Self-Supervised Action-Space Prediction for Automated Driving
Self-Supervised Action-Space Prediction for Automated Driving
Faris Janjos
Maxim Dolgov
J. Marius Zöllner
30
12
0
21 Sep 2021
Raising context awareness in motion forecasting
Raising context awareness in motion forecasting
H. Ben-younes
Éloi Zablocki
Mickaël Chen
P. Pérez
Matthieu Cord
TTA
44
11
0
16 Sep 2021
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for
  Autonomous Vehicle
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle
Cheng Gong
Jian-wei Gong
Chao Lu
Zhe Liu
Zirui Li
30
0
0
15 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent
  Environments
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
E. Kargar
Ville Kyrki
ViT
31
13
0
14 Sep 2021
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