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LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions
  with Large Language Models

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models

27 March 2024
Mingxing Peng
Xusen Guo
Xianda Chen
Meixin Zhu
Kehua Chen
Hao
Hao Yang
Xuesong Wang
Yinhai Wang
    LRM
ArXivPDFHTML

Papers citing "LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models"

40 / 40 papers shown
Title
Unlock the Power of Unlabeled Data in Language Driving Model
Unlock the Power of Unlabeled Data in Language Driving Model
Chaoqun Wang
Jie Yang
Xiaobin Hong
Ruimao Zhang
93
0
0
13 Mar 2025
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
69
106
0
02 Nov 2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Zichang Liu
Jue Wang
Tri Dao
Dinesh Manocha
Binhang Yuan
...
Anshumali Shrivastava
Ce Zhang
Yuandong Tian
Christopher Ré
Beidi Chen
BDL
39
197
0
26 Oct 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated
  Self-Explanations
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
Shiyuan Huang
Siddarth Mamidanna
Shreedhar Jangam
Yilun Zhou
Leilani H. Gilpin
LRM
MILM
ELM
72
70
0
17 Oct 2023
Receive, Reason, and React: Drive as You Say with Large Language Models
  in Autonomous Vehicles
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles
Can Cui
Yunsheng Ma
Xu Cao
Wenqian Ye
Ziran Wang
43
84
0
12 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable
  Autonomous Driving
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen
Oleg Sinavski
Jan Hünermann
Alice Karnsund
Andrew James Willmott
Danny Birch
Daniel Maund
Jamie Shotton
MLLM
57
193
0
03 Oct 2023
GPT-Driver: Learning to Drive with GPT
GPT-Driver: Learning to Drive with GPT
Jiageng Mao
Yuxi Qian
Junjie Ye
Hang Zhao
Yue Wang
LRM
37
222
0
02 Oct 2023
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large
  Language Model
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
Zhenhua Xu
Yujia Zhang
Enze Xie
Zhen Zhao
Yong Guo
Kwan-Yee. K. Wong
Zhenguo Li
Hengshuang Zhao
MLLM
52
271
0
02 Oct 2023
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Ari Seff
Brian Cera
Dian Chen
Mason Ng
Aurick Zhou
Nigamaa Nayakanti
Khaled S. Refaat
Rami Al-Rfou
Benjamin Sapp
43
97
0
28 Sep 2023
Language Prompt for Autonomous Driving
Language Prompt for Autonomous Driving
Dongming Wu
Wencheng Han
Tiancai Wang
Yingfei Liu
Cheng-zhong Xu
Jianbing Shen
Jianbing Shen
VLM
75
81
0
08 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
197
11,484
0
18 Jul 2023
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of
  Surveys
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen
Yuchen Li
Chao Huang
Bai Li
Yang Xing
...
Chen Lv
Jinjun Wang
Dongpu Cao
N. Zheng
Feiyue Wang
80
303
0
30 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
422
13,788
0
15 Mar 2023
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Elias Frantar
Dan Alistarh
VLM
75
677
0
02 Jan 2023
Motion Transformer with Global Intention Localization and Local Movement
  Refinement
Motion Transformer with Global Intention Localization and Local Movement Refinement
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
66
226
0
27 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
411
4,077
0
24 May 2022
Least-to-Most Prompting Enables Complex Reasoning in Large Language
  Models
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou
Nathanael Scharli
Le Hou
Jason W. Wei
Nathan Scales
...
Dale Schuurmans
Claire Cui
Olivier Bousquet
Quoc Le
Ed H. Chi
RALM
LRM
AI4CE
46
1,085
0
21 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
677
12,525
0
04 Mar 2022
TransFollower: Long-Sequence Car-Following Trajectory Prediction through
  Transformer
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Meixin Zhu
S. Du
X. Wang
Hao
Hao Yang
Ziyuan Pu
Yinhai Wang
ViT
21
16
0
04 Feb 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
570
9,009
0
28 Jan 2022
Early Lane Change Prediction for Automated Driving Systems Using
  Multi-Task Attention-based Convolutional Neural Networks
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
Sajjad Mozaffari
Eduardo Arnold
M. Dianati
Saber Fallah
45
42
0
22 Sep 2021
Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Zhiyu Huang
Xiaoyu Mo
Chen Lv
113
113
0
14 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
223
9,946
0
17 Jun 2021
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
171
547
0
20 Apr 2021
TNT: Target-driveN Trajectory Prediction
TNT: Target-driveN Trajectory Prediction
Hang Zhao
Jiyang Gao
Tian-Shing Lan
Chen Sun
Benjamin Sapp
...
Yi Shen
Yuning Chai
Cordelia Schmid
Congcong Li
Dragomir Anguelov
73
542
0
19 Aug 2020
Learning Lane Graph Representations for Motion Forecasting
Learning Lane Graph Representations for Motion Forecasting
Ming Liang
Binh Yang
Rui Hu
Yun Chen
Renjie Liao
Song Feng
R. Urtasun
54
560
0
27 Jul 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
103
802
0
08 May 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
316
1,471
0
18 Mar 2020
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random
  Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural
  Network
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
GNN
37
69
0
28 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
218
42,038
0
03 Dec 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
76
659
0
12 Oct 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional
  Model of Semantic Interactions
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong
Benjamin Sapp
James Philbin
65
243
0
21 Jun 2019
Intention-aware Long Horizon Trajectory Prediction of Surrounding
  Vehicles using Dual LSTM Networks
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
Long Xin
Pin Wang
Ching-yao Chan
Jianyu Chen
Shengbo Eben Li
B. Cheng
27
127
0
06 Jun 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
ReLM
LRM
54
561
0
06 Jun 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
231
5,653
0
26 Mar 2019
Graph Neural Networks for Modelling Traffic Participant Interaction
Graph Neural Networks for Modelling Traffic Participant Interaction
Frederik Diehl
T. Brunner
Michael Truong-Le
Alois Knoll
HAI
GNN
36
111
0
04 Mar 2019
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories
  on German Highways for Validation of Highly Automated Driving Systems
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
R. Krajewski
Julian Bock
Laurent Kloeker
L. Eckstein
65
982
0
11 Oct 2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep
  Convolutional Networks
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui
Vladan Radosavljevic
Fang-Chieh Chou
Tsung-Han Lin
Thi Nguyen
Tzu-Kuo Huang
J. Schneider
Nemanja Djuric
45
607
0
18 Sep 2018
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver
  based LSTMs
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs
Nachiket Deo
Mohan M. Trivedi
59
415
0
15 May 2018
An LSTM Network for Highway Trajectory Prediction
An LSTM Network for Highway Trajectory Prediction
Florent Altché
A. de La Fortelle
HAI
19
514
0
24 Jan 2018
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