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SceneGen: Learning to Generate Realistic Traffic Scenes

SceneGen: Learning to Generate Realistic Traffic Scenes

16 January 2021
Shuhan Tan
K. Wong
Shenlong Wang
S. Manivasagam
Mengye Ren
R. Urtasun
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Papers citing "SceneGen: Learning to Generate Realistic Traffic Scenes"

28 / 28 papers shown
Title
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
32
0
0
13 May 2025
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Yuewen Mei
Tong Nie
Jian Sun
Ye Tian
70
0
0
02 May 2025
Continuous Locomotive Crowd Behavior Generation
Continuous Locomotive Crowd Behavior Generation
Inhwan Bae
Junoh Lee
Hae-Gon Jeon
31
0
0
07 Apr 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu
Haoyang Zhang
Tianwei Lin
Lichao Huang
Shujie Luo
Rui Wu
Congpei Qiu
Wei Ke
Tong Zhang
VGen
51
0
0
19 Mar 2025
ChatBEV: A Visual Language Model that Understands BEV Maps
ChatBEV: A Visual Language Model that Understands BEV Maps
Qingyao Xu
Tian Jin
Guang Chen
Yanfeng Wang
Yuyao Zhang
51
0
0
18 Mar 2025
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
Xiao Xia
Dan Zhang
Zibo Liao
Zhenyu Hou
Tianrui Sun
Jing Li
Ling Fu
Yuxiao Dong
AI4CE
LM&Ro
3DV
LLMAG
38
2
0
29 Oct 2024
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Joshua Ransiek
Philipp Reis
Tobias Schürmann
Eric Sax
75
0
0
21 Sep 2024
Promptable Closed-loop Traffic Simulation
Promptable Closed-loop Traffic Simulation
Shuhan Tan
Boris Ivanovic
Yuxiao Chen
Boyi Li
Xinshuo Weng
Yulong Cao
Philipp Krahenbuhl
Marco Pavone
36
5
0
09 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
56
7
0
28 Jul 2024
LCSim: A Large-Scale Controllable Traffic Simulator
LCSim: A Large-Scale Controllable Traffic Simulator
Yuheng Zhang
Tianjian Ouyang
Fudan Yu
Cong Ma
Lei Qiao
Jingtao Ding
Jian Yuan
Yong Li
46
2
0
28 Jun 2024
UniGen: Unified Modeling of Initial Agent States and Trajectories for
  Generating Autonomous Driving Scenarios
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
R. Mahjourian
Rongbing Mu
Valerii Likhosherstov
Paul Mougin
Xiukun Huang
Joao Messias
Shimon Whiteson
37
7
0
06 May 2024
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Maximilian Zipfl
barbara Schutt
J. Marius Zöllner
29
0
0
26 Apr 2024
SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent
  Diffusion Models
SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models
Zhiming Guo
Xing Gao
Jianlan Zhou
Xinyu Cai
Botian Shi
DiffM
26
22
0
27 Nov 2023
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Jingkang Wang
S. Manivasagam
Yun Chen
Ze Yang
Ioan Andrei Bârsan
A. Yang
Wei-Chiu Ma
R. Urtasun
3DV
42
24
0
02 Nov 2023
Realistically distributing object placements in synthetic training data
  improves the performance of vision-based object detection models
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
Setareh Dabiri
Vasileios Lioutas
Berend Zwartsenberg
Yunpeng Liu
Matthew Niedoba
...
Dylan Green
Justice Sefas
J. Lavington
Frank D. Wood
Adam Scibior
35
0
0
24 May 2023
From Model-Based to Data-Driven Simulation: Challenges and Trends in
  Autonomous Driving
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
Ferdinand Mutsch
Helen Gremmelmaier
Nicolas Becker
Daniel Bogdoll
M. Zofka
J. Marius Zöllner
26
9
0
23 May 2023
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A
  Survey
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
barbara Schutt
Joshua Ransiek
Thilo Braun
Eric Sax
42
13
0
21 Apr 2023
Vectorized Scenario Description and Motion Prediction for Scenario-Based
  Testing
Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing
Max Winkelmann
Constantin Vasconi
Steffen Müller
24
2
0
02 Feb 2023
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
John Lambert
James Hays
26
28
0
14 Dec 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
35
4
0
10 Nov 2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng
Quanyi Li
Zhenghao Peng
Shuhan Tan
Bolei Zhou
33
82
0
12 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
21
4
0
04 Oct 2022
WorldGen: A Large Scale Generative Simulator
WorldGen: A Large Scale Generative Simulator
Chahat Deep Singh
R. Kumari
Cornelia Fermuller
N. Sanket
Yiannis Aloimonos
31
4
0
03 Oct 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
144
0
04 Feb 2022
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
39
169
0
13 Jan 2021
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
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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