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Empowering Autonomous Driving with Large Language Models: A Safety
  Perspective

Empowering Autonomous Driving with Large Language Models: A Safety Perspective

28 November 2023
Yixuan Wang
Ruochen Jiao
Sinong Simon Zhan
Chengtian Lang
Chao Huang
Zhaoran Wang
Zhuoran Yang
Qi Zhu
ArXivPDFHTML

Papers citing "Empowering Autonomous Driving with Large Language Models: A Safety Perspective"

26 / 26 papers shown
Title
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
Kazuki Atsuta
Kohei Honda
H. Okuda
Tatsuya Suzuki
68
0
0
08 May 2025
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models
Rui Gan
Pei Li
Keke Long
Bocheng An
Junwei You
Keshu Wu
Bin Ran
26
0
0
06 Apr 2025
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning
Shiyue Zhao
Junzhi Zhang
Neda Masoud
Heye Huang
Xingpeng Xia
Chengkun He
LRM
34
0
0
31 Mar 2025
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles
Murat Arda Onsu
Poonam Lohan
Burak Kantarci
32
0
0
28 Dec 2024
Model-Based Reward Shaping for Adversarial Inverse Reinforcement
  Learning in Stochastic Environments
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments
S. Zhan
Qingyuan Wu
Philip Wang
Yixuan Wang
Ruochen Jiao
Chao Huang
Qi Zhu
21
1
0
04 Oct 2024
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception
  Attacks
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
Ruoyu Song
Muslum Ozgur Ozmen
Hyungsub Kim
Antonio Bianchi
Z. Berkay Celik
AAML
24
5
0
22 Sep 2024
Making Large Language Models Better Planners with Reasoning-Decision
  Alignment
Making Large Language Models Better Planners with Reasoning-Decision Alignment
Zhijian Huang
Tao Tang
Shaoxiang Chen
Sihao Lin
Zequn Jie
Lin Ma
Guangrun Wang
Xiaodan Liang
49
9
0
25 Aug 2024
Large Language Models for Human-like Autonomous Driving: A Survey
Large Language Models for Human-like Autonomous Driving: A Survey
Yun Li
Kai Katsumata
Ehsan Javanmardi
Manabu Tsukada
LM&MA
35
5
0
27 Jul 2024
Exploring the Causality of End-to-End Autonomous Driving
Exploring the Causality of End-to-End Autonomous Driving
Jiankun Li
Hao Li
Jiangjiang Liu
Zhikang Zou
Xiaoqing Ye
F. Wang
Jizhou Huang
Hua-Hong Wu
Haifeng Wang
LRM
43
4
0
09 Jul 2024
Asynchronous Large Language Model Enhanced Planner for Autonomous
  Driving
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
Yuan-Hsin Chen
Zi-han Ding
Ziqin Wang
Yan Wang
Lijun Zhang
Si Liu
64
9
0
20 Jun 2024
AD-H: Autonomous Driving with Hierarchical Agents
AD-H: Autonomous Driving with Hierarchical Agents
Zaibin Zhang
Shiyu Tang
Yuanhang Zhang
Talas Fu
Yifan Wang
Yang Liu
Dong Wang
Jing Shao
Lijun Wang
H. Lu
42
3
0
05 Jun 2024
Co-driver: VLM-based Autonomous Driving Assistant with Human-like
  Behavior and Understanding for Complex Road Scenes
Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
Ziang Guo
Artem Lykov
Zakhar Yagudin
Mikhail Konenkov
Dzmitry Tsetserukou
VLM
27
4
0
09 May 2024
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Marcel Hallgarten
Julian Zapata
Martin Stoll
Katrin Renz
Andreas Zell
27
10
0
11 Apr 2024
A Survey on Human-AI Teaming with Large Pre-Trained Models
A Survey on Human-AI Teaming with Large Pre-Trained Models
Vanshika Vats
Marzia Binta Nizam
Minghao Liu
Ziyuan Wang
Richard Ho
...
Celeste Shen
Rachel Shen
Nafisa Hussain
Kesav Ravichandran
James Davis
LM&MA
34
8
0
07 Mar 2024
Delving into Multi-modal Multi-task Foundation Models for Road Scene
  Understanding: From Learning Paradigm Perspectives
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Sheng Luo
Wei-Neng Chen
Wanxin Tian
Rui Liu
Luanxuan Hou
...
Ling Shao
Yi Yang
Bojun Gao
Qun Li
Guobin Wu
47
13
0
05 Feb 2024
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Jianhua Wu
B. Gao
Jincheng Gao
Jianhao Yu
Hongqing Chu
...
Xun Gong
Yi Chang
H. E. Tseng
Hong Chen
Jie Chen
31
3
0
08 Dec 2023
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language
  Model Programs
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
Yunsheng Ma
Can Cui
Xu Cao
Wenqian Ye
Peiran Liu
...
Rohit Gupta
Kyungtae Han
Aniket Bera
James M. Rehg
Ziran Wang
21
42
0
07 Dec 2023
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang
Xiaosong Jia
Hongyang Li
Junchi Yan
ELM
24
92
0
02 Nov 2023
DrivingDiffusion: Layout-Guided multi-view driving scene video
  generation with latent diffusion model
DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model
Xiaofan Li
Yifu Zhang
Xiaoqing Ye
VGen
65
70
0
11 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
105
154
0
04 Oct 2023
Kinematics-aware Trajectory Generation and Prediction with Latent
  Stochastic Differential Modeling
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
Ruochen Jiao
Yixuan Wang
Xiangguo Liu
Chao Huang
Qi Zhu
15
3
0
17 Sep 2023
Learning Representation for Anomaly Detection of Vehicle Trajectories
Learning Representation for Anomaly Detection of Vehicle Trajectories
Ruochen Jiao
Juyang Bai
Xiangguo Liu
Takami Sato
Xiao-Fang Yuan
Qi Alfred Chen
Qiuhan Zhu
AI4TS
AAML
16
13
0
09 Mar 2023
DRAMA: Joint Risk Localization and Captioning in Driving
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla
Chiho Choi
Isht Dwivedi
Joonhyang Choi
Jiachen Li
94
85
0
22 Sep 2022
Differentiable Safe Controller Design through Control Barrier Functions
Differentiable Safe Controller Design through Control Barrier Functions
Shuo Yang
Shaoru Chen
V. Preciado
Rahul Mangharam
33
18
0
20 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson
Zengyi Qin
Sicun Gao
Chuchu Fan
102
168
0
14 Sep 2021
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