CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models

24 February 2025

Papers citing "CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models"

40 / 40 papers shown

Title
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Zhiwen Chen Bo Leng Zhuoren Li Hanming Deng Guizhe Jin Ran Yu Huanxi Wen 216 0 0 21 May 2025
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation Zilin Huang Zihao Sheng Zhengyang Wan Yansong Qu Yuhao Luo ... Jiancong Chen Keke Long Jiayi Meng Yue Leng Sikai Chen 115 0 0 25 Apr 2025
ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models Amirhosein Chahe Lifeng Zhou LRM 71 0 0 14 Apr 2025
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 136 10 0 20 Feb 2025
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving Zilin Huang Zihao Sheng Yansong Qu Junwei You Sikai Chen VLM 104 10 0 20 Dec 2024
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving Zilin Huang Zihao Sheng Sikai Chen 138 4 0 01 Sep 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control Zihao Sheng Zilin Huang Sikai Chen 82 10 0 30 Aug 2024
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving Jianbiao Mei Yukai Ma Xuemeng Yang Licheng Wen Xinyu Cai ... Min Dou Botian Shi Liang He Yong-Jin Liu Yu Qiao 81 15 0 24 May 2024
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles Jiawei Zhang Chejian Xu Yue Liu 85 44 0 22 May 2024
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zeng Peng Xiao Zhou Lei Zheng Yubin Wang Jun Ma 188 4 0 20 Mar 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 64 33 0 06 Jan 2024
Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles Kristofer D. Kusano John M. Scanlon Yin-Hsiu Chen Timothy L. McMurry Ruo-yu Chen Tilia Gode Trent Victor 62 23 0 20 Dec 2023
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 103 283 0 21 Nov 2023
Vision Language Models in Autonomous Driving: A Survey and Outlook Xingcheng Zhou Mingyu Liu Ekim Yurtsever B. L. Žagar Walter Zimmer Hu Cao Alois C. Knoll VLM 70 55 0 22 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 70 28 0 19 Oct 2023
GPT-Driver: Learning to Drive with GPT Jiageng Mao Yuxi Qian Junjie Ye Hang Zhao Yue Wang LRM 57 234 0 02 Oct 2023
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula Haoyi Niu Yi Tian Xu Xingjian Jiang Jianming Hu 111 3 0 25 Sep 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion Ziyuan Zhong Davis Rempe Yuxiao Chen Boris Ivanovic Yulong Cao Danfei Xu Marco Pavone Baishakhi Ray DiffM 64 89 0 10 Jun 2023
imitation: Clean Imitation Learning Implementations Adam Gleave Mohammad Taufeeque Juan Rocamonde Erik Jenner Steven H. Wang Sam Toyer M. Ernestus Nora Belrose Scott Emmons Stuart J. Russell MLAU 125 32 0 22 Nov 2022
Guided Conditional Diffusion for Controllable Traffic Simulation Ziyuan Zhong Davis Rempe Danfei Xu Yuxiao Chen Sushant Veer Tong Che Baishakhi Ray Marco Pavone 66 155 0 31 Oct 2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios Lan Feng Quanyi Li Zhenghao Peng Shuhan Tan Bolei Zhou 78 87 0 12 Oct 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections Shivesh Khaitan John M. Dolan SSL 48 17 0 10 Jul 2022
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction Q. Sun Xin Huang Junru Gu B. Williams Hang Zhao 61 108 0 24 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Yue Liu Ding Zhao 56 160 0 04 Feb 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior Davis Rempe Jonah Philion Leonidas Guibas Sanja Fidler Or Litany 82 135 0 09 Dec 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 94 252 0 26 Sep 2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets Junru Gu Chen Sun Hang Zhao 155 420 0 22 Aug 2021
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 192 561 0 20 Apr 2021
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions Anil Öztürk Mustafa Burak Gunel Resul Dagdanov Mirac Ekim Vural Ferhat Yurdakul Melih Dal N. K. Üre OffRL 59 6 0 14 Mar 2021
SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan K. Wong Shenlong Wang S. Manivasagam Mengye Ren R. Urtasun 73 105 0 16 Jan 2021
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 91 177 0 10 Jul 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 76 299 0 08 Jul 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding Baiming Chen Minjun Xu Ding Zhao 50 114 0 02 Mar 2020
Safe Reinforcement Learning on Autonomous Vehicles David Isele A. Nakhaei K. Fujimura 72 77 0 27 Sep 2019
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving Meixin Zhu Yinhai Wang Ziyuan Pu Jingyun Hu X. Wang Ruimin Ke 69 332 0 29 Jan 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 175 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 127 756 0 30 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 140 3,115 0 10 Jun 2016