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Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic
  Prior

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior

9 December 2021
Davis Rempe
Jonah Philion
Leonidas J. Guibas
Sanja Fidler
Or Litany
ArXivPDFHTML

Papers citing "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"

42 / 42 papers shown
Title
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
J. Schumann
Jeroen Hagenus
Frederik Baymler Mathiesen
Arkady Zgonnikov
AAML
28
0
0
09 May 2025
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
Jiawei Wang
Xintao Yan
Yao Mu
Haowei Sun
Zhong Cao
Henry X. Liu
167
0
0
06 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
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
Luu Anh Tuan
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
90
0
0
27 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
X. Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports
AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports
Xinsong Zhang
Qian Zhang
Longfei Han
Qiang Qu
Xiaoming Chen
VGen
67
0
0
26 Mar 2025
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Bo-Kai Ruan
Hao-Tang Tsui
Yung-Hui Li
Hong-Han Shuai
LM&Ro
86
4
0
20 Feb 2025
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation
Seungjun Yu
Kisung Kim
Daejung Kim
Haewook Han
Jinhan Lee
65
0
0
14 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation
Rolling Ahead Diffusion for Traffic Scene Simulation
Yunpeng Liu
Matthew Niedoba
William Harvey
Adam Scibior
Berend Zwartsenberg
Frank Wood
69
0
0
13 Feb 2025
From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events
From Dashcam Videos to Driving Simulations: Stress Testing Automated Vehicles against Rare Events
Yan Miao
Georgios Fainekos
Bardh Hoxha
Hideki Okamoto
Danil Prokhorov
Sayan Mitra
81
1
0
28 Jan 2025
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
Niklas Hanselmann
Simon Doll
Marius Cordts
Hendrik P. A. Lensch
Andreas Geiger
44
0
0
12 Nov 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
Realistic Extreme Behavior Generation for Improved AV Testing
Realistic Extreme Behavior Generation for Improved AV Testing
Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
AAML
36
1
0
16 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
60
4
0
16 Sep 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
33
19
0
06 Aug 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
59
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
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
  Driving
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
42
5
0
13 May 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline
  Reinforcement Learning
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Luke Rowe
Roger Girgis
Anthony Gosselin
Bruno Carrez
Florian Golemo
Felix Heide
Liam Paull
Christopher Pal
46
4
0
29 Mar 2024
Egocentric Scene-aware Human Trajectory Prediction
Egocentric Scene-aware Human Trajectory Prediction
Weizhuo Wang
Chenxi Liu
Monroe Kennedy
46
0
0
27 Mar 2024
Adaptive Testing Environment Generation for Connected and Automated
  Vehicles with Dense Reinforcement Learning
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Jingxuan Yang
Ruoxuan Bai
Haoyuan Ji
Yi Zhang
Jianming Hu
Shuo Feng
37
3
0
29 Feb 2024
Generating Transferable Adversarial Simulation Scenarios for
  Self-Driving via Neural Rendering
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Yasasa Abeysirigoonawardena
Kevin Xie
Chuhan Chen
Salar Hosseini
Ruiting Chen
Ruiqi Wang
Florian Shkurti
36
2
0
27 Sep 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
45
13
0
21 Apr 2023
DeepAccident: A Motion and Accident Prediction Benchmark for V2X
  Autonomous Driving
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Tianqi Wang
Sukmin Kim
Wenxuan Ji
Enze Xie
Chongjian Ge
Junsong Chen
Zhenguo Li
Ping Luo
41
58
0
03 Apr 2023
Editing Driver Character: Socially-Controllable Behavior Generation for
  Interactive Traffic Simulation
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
Wei-Jer Chang
Chen Tang
Chenran Li
Yeping Hu
Masayoshi Tomizuka
Wei Zhan
88
11
0
24 Mar 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A
  Survey
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
30
19
0
06 Feb 2023
Finding Needles in Haystack: Formal Generative Models for Efficient
  Massive Parallel Simulations
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
Osama Maqbool
J. Roßmann
AI4CE
28
0
0
03 Jan 2023
DiffStack: A Differentiable and Modular Control Stack for Autonomous
  Vehicles
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus
Boris Ivanovic
Shie Mannor
Marco Pavone
36
46
0
13 Dec 2022
Guided Conditional Diffusion for Controllable Traffic Simulation
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong
Davis Rempe
Danfei Xu
Yuxiao Chen
Sushant Veer
Tong Che
Baishakhi Ray
Marco Pavone
24
147
0
31 Oct 2022
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous
  Driving
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving
Shuting Kang
Heng Guo
Lijun Zhang
Guangzhen Liu
Yunzhi Xue
Yanjun Wu
21
5
0
21 Sep 2022
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao
Chaowei Xiao
Anima Anandkumar
Danfei Xu
Marco Pavone
AAML
32
64
0
19 Sep 2022
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous
  Driving
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving
Daniel Bogdoll
Stefani Guneshka
J. Marius Zöllner
29
27
0
01 Sep 2022
BITS: Bi-level Imitation for Traffic Simulation
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
Yuxiao Chen
Boris Ivanovic
Marco Pavone
34
80
0
26 Aug 2022
Exploring the trade off between human driving imitation and safety for
  traffic simulation
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle
S. Sabatini
D. Tsishkou
C. Sabourin
30
4
0
09 Aug 2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
SpOT: Spatiotemporal Modeling for 3D Object Tracking
Colton Stearns
Davis Rempe
Jie Li
Rares Andrei Ambrus
Sergey Zakharov
Vitor Campagnolo Guizilini
Yanchao Yang
Leonidas J. Guibas
3DPC
24
10
0
12 Jul 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
295
0
31 May 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation
  via Kinematics Gradients
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Niklas Hanselmann
Katrin Renz
Kashyap Chitta
Apratim Bhattacharyya
Andreas Geiger
29
87
0
28 Apr 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
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
155
532
0
20 Apr 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
151
224
0
17 Jan 2021
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
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