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LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

4 October 2023
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
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Papers citing "LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving"

50 / 127 papers shown
Title
FIRST: Teach A Reliable Large Language Model Through Efficient
  Trustworthy Distillation
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
Kashun Shum
Minrui Xu
Jianshu Zhang
Zixin Chen
Shizhe Diao
Hanze Dong
Jipeng Zhang
Muhammad Omer Raza
36
3
0
22 Aug 2024
CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous
  Driving
CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving
Hidehisa Arai
Keita Miwa
Kento Sasaki
Yu Yamaguchi
Kohei Watanabe
Shunsuke Aoki
Issei Yamamoto
54
9
0
19 Aug 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang
Jing Hou
Florian Walter
Shangding Gu
Jiayi Guan
Florian Röhrbein
Yali Du
Panpan Cai
G. Chen
Alois Knoll
49
12
0
19 Aug 2024
VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive
  Controller (MPC) for Autonomous Driving
VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving
Keke Long
Haotian Shi
Jiaxi Liu
Xiaopeng Li
53
9
0
09 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
52
6
0
27 Jul 2024
Testing Large Language Models on Driving Theory Knowledge and Skills for
  Connected Autonomous Vehicles
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
Zuoyin Tang
Jianhua He
Dashuai Pei
Kezhong Liu
Tao Gao
ELM
38
2
0
24 Jul 2024
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
Wentao Zhao
Jiaming Chen
Ziyu Meng
Donghui Mao
Ran Song
Wei Zhang
43
8
0
13 Jul 2024
GenFollower: Enhancing Car-Following Prediction with Large Language
  Models
GenFollower: Enhancing Car-Following Prediction with Large Language Models
Xianda Chen
Mingxing Peng
PakHin Tiu
Yuanfei Wu
Junjie Chen
Meixin Zhu
Xinhu Zheng
51
6
0
08 Jul 2024
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language
  Models
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models
Annie S. Chen
Alec M. Lessing
Andy Tang
Govind Chada
Laura Smith
Sergey Levine
Chelsea Finn
LM&Ro
LRM
39
9
0
02 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
71
12
0
20 Jun 2024
Generating and Evolving Reward Functions for Highway Driving with Large
  Language Models
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han
Qiannan Yang
Xianda Chen
Xiaowen Chu
Meixin Zhu
58
4
0
15 Jun 2024
CarLLaVA: Vision language models for camera-only closed-loop driving
CarLLaVA: Vision language models for camera-only closed-loop driving
Katrin Renz
Long Chen
Ana-Maria Marcu
Jan Hünermann
Benoît Hanotte
Alice Karnsund
Jamie Shotton
Elahe Arani
Oleg Sinavski
VLM
46
19
0
14 Jun 2024
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
Zeyu Gao
Yao Mu
Jinye Qu
Mengkang Hu
Lingyue Guo
Ping Luo
Yanfeng Lu
Ping Luo
Shanghang Zhang
Yanfeng Lu
54
10
0
14 Jun 2024
Instruct Large Language Models to Drive like Humans
Instruct Large Language Models to Drive like Humans
Ruijun Zhang
Xianda Guo
Wenzhao Zheng
Chenming Zhang
Kurt Keutzer
Long Chen
34
3
0
11 Jun 2024
A Superalignment Framework in Autonomous Driving with Large Language
  Models
A Superalignment Framework in Autonomous Driving with Large Language Models
Xiangrui Kong
Thomas Braunl
Marco Fahmi
Yue Wang
38
9
0
09 Jun 2024
MoralBench: Moral Evaluation of LLMs
MoralBench: Moral Evaluation of LLMs
Jianchao Ji
Yutong Chen
Mingyu Jin
Wujiang Xu
Wenyue Hua
Yongfeng Zhang
ELM
46
6
0
06 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
52
3
0
05 Jun 2024
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and
  Social Experiences
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
Yidong Huang
Jacob Sansom
Ziqiao Ma
Felix Gervits
Joyce Chai
44
17
0
05 Jun 2024
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle
  Motion Planning
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning
Yupeng Zheng
Zebin Xing
Qichao Zhang
Bu Jin
Pengfei Li
...
Zhongpu Xia
Kun Zhan
Xianpeng Lang
Yaran Chen
Dongbin Zhao
LM&Ro
LRM
LLMAG
62
14
0
03 Jun 2024
Attaining Human`s Desirable Outcomes in Human-AI Interaction via
  Structural Causal Games
Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Games
Anjie Liu
Jianhong Wang
Haoxuan Li
Xu Chen
Jun Wang
Samuel Kaski
Mengyue Yang
44
0
0
26 May 2024
Large Language Models are Biased Reinforcement Learners
Large Language Models are Biased Reinforcement Learners
William M. Hayes
Nicolas Yax
Stefano Palminteri
OffRL
42
1
0
19 May 2024
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks
  via Multi-modal Large Language Models
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models
Xianzheng Ma
Yash Bhalgat
Brandon Smart
Shuai Chen
Xinghui Li
...
Matthias Nießner
Ian D Reid
Angel X. Chang
Iro Laina
V. Prisacariu
LRM
33
13
0
16 May 2024
Probing Multimodal LLMs as World Models for Driving
Probing Multimodal LLMs as World Models for Driving
Shiva Sreeram
Tsun-Hsuan Wang
Alaa Maalouf
Guy Rosman
S. Karaman
Daniela Rus
30
7
0
09 May 2024
Position: Leverage Foundational Models for Black-Box Optimization
Position: Leverage Foundational Models for Black-Box Optimization
Xingyou Song
Yingtao Tian
Robert Tjarko Lange
Chansoo Lee
Yujin Tang
Yutian Chen
42
5
0
06 May 2024
Integration of Mixture of Experts and Multimodal Generative AI in
  Internet of Vehicles: A Survey
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Minrui Xu
Dusit Niyato
Jiawen Kang
Zehui Xiong
Abbas Jamalipour
Yuguang Fang
Dong In Kim
Xuemin
X. Shen
28
5
0
25 Apr 2024
Physical Backdoor Attack can Jeopardize Driving with
  Vision-Large-Language Models
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models
Zhenyang Ni
Rui Ye
Yuxian Wei
Zhen Xiang
Yanfeng Wang
Siheng Chen
AAML
36
10
0
19 Apr 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
43
10
0
11 Apr 2024
AgentsCoDriver: Large Language Model Empowered Collaborative Driving
  with Lifelong Learning
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
Senkang Hu
Zhengru Fang
Zihan Fang
Yiqin Deng
Xianhao Chen
Yuguang Fang
60
33
0
09 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable
  Collaboration
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
Xudong Guo
Daming Shi
Junjie Yu
Wenhui Fan
38
4
0
05 Apr 2024
VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using
  Vision-Language Models
VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language Models
Daeun Song
Jing Liang
Amirreza Payandeh
Xuesu Xiao
Dinesh Manocha
37
13
0
30 Mar 2024
LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End
  Autonomous Driving
LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving
Pranjal Paul
Anant Garg
Tushar Choudhary
Arun Kumar Singh
K. M. Krishna
52
3
0
29 Mar 2024
ChatTracer: Large Language Model Powered Real-time Bluetooth Device
  Tracking System
ChatTracer: Large Language Model Powered Real-time Bluetooth Device Tracking System
Qijun Wang
Shichen Zhang
Kunzhe Song
Huacheng Zeng
27
1
0
28 Mar 2024
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
Tianqi Wang
Enze Xie
Ruihang Chu
Zhenguo Li
Ping Luo
LRM
34
15
0
25 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
69
6
0
18 Mar 2024
DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language
  Models
DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models
Yuanfei Lin
Chenran Li
Mingyu Ding
Masayoshi Tomizuka
Wei Zhan
Matthias Althoff
41
5
0
12 Mar 2024
Embodied Understanding of Driving Scenarios
Embodied Understanding of Driving Scenarios
Yunsong Zhou
Linyan Huang
Qingwen Bu
Jia Zeng
Tianyu Li
Hang Qiu
Hongzi Zhu
Minyi Guo
Yu Qiao
Hongyang Li
LM&Ro
62
31
0
07 Mar 2024
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic
  Planning
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
Shaoyu Chen
Bo Jiang
Hao Gao
Bencheng Liao
Qing Xu
Qian Zhang
Chang Huang
Wenyu Liu
Xinggang Wang
BDL
48
43
0
20 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo-Lu Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
36
48
0
16 Feb 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous
  Driving and Zero-Shot Instruction Following
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
Brian Yang
Huangyuan Su
N. Gkanatsios
Tsung-Wei Ke
Ayush Jain
Jeff Schneider
Katerina Fragkiadaki
DiffM
37
20
0
09 Feb 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 Chen
Wanxin Tian
Rui Liu
Luanxuan Hou
...
Ling Shao
Yi Yang
Bojun Gao
Qun Li
Guobin Wu
51
13
0
05 Feb 2024
LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in
  Autonomous Driving
LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving
Daocheng Fu
Wenjie Lei
Licheng Wen
Pinlong Cai
Song Mao
Min Dou
Botian Shi
Yu Qiao
48
27
0
02 Feb 2024
A Survey for Foundation Models in Autonomous Driving
A Survey for Foundation Models in Autonomous Driving
Haoxiang Gao
Yaqian Li
Kaiwen Long
Ming Yang
Yiqing Shen
VLM
LRM
53
24
0
02 Feb 2024
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large
  Language Models and Decision Planning
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
Yao-Hung Tsai
Walter Talbott
Jian Zhang
LLMAG
16
4
0
01 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
Knowledge Distillation from Language-Oriented to Emergent Communication
  for Multi-Agent Remote Control
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control
Yongjun Kim
Sejin Seo
Jihong Park
M. Bennis
Seong-Lyun Kim
Junil Choi
33
1
0
23 Jan 2024
Forging Vision Foundation Models for Autonomous Driving: Challenges,
  Methodologies, and Opportunities
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities
Xu Yan
Haiming Zhang
Yingjie Cai
Jingming Guo
Weichao Qiu
...
Lihui Jiang
Wei Zhang
Hongbo Zhang
Dengxin Dai
Bingbing Liu
56
17
0
16 Jan 2024
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Luoma Ke
Song Tong
Peng Cheng
Kaiping Peng
OffRL
LM&MA
59
20
0
03 Jan 2024
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code
  Empowers Large Language Models to Serve as Intelligent Agents
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Ke Yang
Jiateng Liu
John Wu
Chaoqi Yang
Yi Ren Fung
...
Xu Cao
Xingyao Wang
Yiquan Wang
Heng Ji
Chengxiang Zhai
LLMAG
ELM
26
75
0
01 Jan 2024
LLMLight: Large Language Models as Traffic Signal Control Agents
LLMLight: Large Language Models as Traffic Signal Control Agents
Siqi Lai
Zhao Xu
Weijiao Zhang
Hao Liu
Hui Xiong
LLMAG
26
7
0
26 Dec 2023
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral
  Planning States for Autonomous Driving
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Wenhai Wang
Jiangwei Xie
ChuanYang Hu
Haoming Zou
Jianan Fan
...
Lewei Lu
Xizhou Zhu
Xiaogang Wang
Yu Qiao
Jifeng Dai
36
124
0
14 Dec 2023
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