CausalAF: Causal Autoregressive Flow for Safety-Critical Driving
Scenario Generation

CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation

26 October 2021

Ding Zhao

Papers citing "CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation"

19 / 19 papers shown

Title
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions Zherui Huang Xing Gao Guanjie Zheng Licheng Wen Xuemeng Yang X. Sun AAML 47 0 0 07 Mar 2025
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety Gabriel Kenji Godoy Shimanuki Alexandre Moreira Nascimento Lucio Flavio Vismari Joao Batista Camargo Junior Jorge Rady de Almeida Junior Paulo Sergio Cugnasca 36 1 0 27 Feb 2025
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization Xinzheng Wu Junyi Chen Xingyu Xing Jian-jun Sun Ye Tian Lihao Liu Yong Shen 74 0 0 30 Nov 2024
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing Tong Wang Taotao Gu Huan Deng Hu Li Xiaohui Kuang Gang Zhao 35 3 0 05 Jul 2024
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality Keyu Chen Yuheng Lei Hao Cheng Haoran Wu Wenchao Sun Sifa Zheng AAML 39 2 0 05 Jun 2024
A Human-Centered Approach for Bootstrapping Causal Graph Creation Minh Q. Tram Nolan B. Gutierrez William J. Beksi 31 0 0 03 Mar 2024
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes Chi-Hsi Kung Shu-Wei Lu Yi-Hsuan Tsai Yi-Ting Chen 35 6 0 29 Nov 2023
Structured Neural Networks for Density Estimation and Causal Inference Asic Q. Chen Ruian Shi Xiang Gao Ricardo Baptista Rahul G. Krishnan CML TPM 34 4 0 03 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Hao-ming Lin Wenhao Ding Zuxin Liu Yaru Niu Jiacheng Zhu Yuming Niu Ding Zhao OffRL 28 11 0 31 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 34 26 0 19 Oct 2023
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling Ruochen Jiao Yixuan Wang Xiangguo Liu Chao Huang Qi Zhu 28 3 0 17 Sep 2023
Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle Maria Priisalu 27 1 0 12 Sep 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 36 24 0 28 Jun 2023
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour Rhys Howard Lars Kunze CML 19 3 0 06 Jun 2023
Critical Scenario Generation for Developing Trustworthy Autonomy Wenhao Ding 11 0 0 29 Apr 2023
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 46 44 0 01 Nov 2022
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving Shuting Kang Heng Guo Lijun Zhang Guangzhen Liu Yunzhi Xue Yanjun Wu 17 5 0 21 Sep 2022
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 30 142 0 04 Feb 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 267 10,348 0 12 Dec 2018