Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving
Imitation Learning with LLMs

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs

7 April 2024

Qiang Zhang

Renjing Xu

Papers citing "Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs"

6 / 6 papers shown

Title
LangCoop: Collaborative Driving with Language Xiangbo Gao Yuheng Wu Rujia Wang Chenxi Liu Yang Zhou Zhengzhong Tu VLM 34 0 0 18 Apr 2025
VAD: Vectorized Scene Representation for Efficient Autonomous Driving Bo Jiang Shaoyu Chen Qing Xu Bencheng Liao Jiajie Chen Helong Zhou Qian Zhang Wenyu Liu Chang Huang Xinggang Wang 108 190 0 21 Mar 2023
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 301 11,730 0 04 Mar 2022
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 92 116 0 03 May 2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras Anthony Hu Zak Murez Nikhil C. Mohan Sofía Dudas Jeffrey Hawke Vijay Badrinarayanan R. Cipolla Alex Kendall 131 254 0 21 Apr 2021
Monocular Depth Estimation Based On Deep Learning: An Overview Chaoqiang Zhao Qiyu Sun Chongzhen Zhang Yang Tang Feng Qian MDE 55 251 0 14 Mar 2020