Awesome-DriveLM

A collection of resources and papers on Large Language Models in autonomous driving

BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning
Pengqin Wang, Meixin Zhu, Hongliang Lu, Hui Zhong, Xianda Chen, Shaojie Shen, Xuesong Wang, Yinhai Wang
AAAI 2024 [Paper]

ADAPT: Action-aware Driving Caption Transformer
Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu
ICRA 2023. [Paper] [Code]

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
arXiv Oct. 2023. [Paper]

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
arXiv Oct. 2023. [Paper][Code]

GPT-Driver: Learning to Drive with GPT
Jiageng Mao, Yuxi Qian, Hang Zhao, Yue Wang
arXiv Oct. 2023. [Paper] [Code]

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
arXiv Oct. 2023. [Paper]

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
arXiv Oct. 2023. [Paper]

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, Yu Qiao
arXiv July 2023. [Paper] [Code]

LINGO-1: Exploring Natural Language for Autonomous Driving
Wayve
[Website]