Drive Like a Human: Rethinking Autonomous Driving with Large Language Models-Reference-Cited by-同舟云学术

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Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Published:2024-01-01 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
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Author:

Fu Daocheng¹,Li Xin¹,Wen Licheng¹,Dou Min¹,Cai Pinlong¹,Shi Botian¹,Qiao Yu¹

Affiliation:

1. Shanghai AI Lab

Funder

National Key R&D Program of China

Science and Technology Commission of Shanghai Municipality

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10495586/10495587/10495699.pdf?arnumber=10495699

Reference48 articles.

1. Do as i can, not as i say: Grounding language in robotic affordances;Ahn;arXiv preprint,2022

2. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

3. Sparks of artificial general intelligence: Early experiments with gpt-4;Bubeck;arXiv preprint,2023

4. MP3: A Unified Model to Map, Perceive, Predict and Plan

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1. Large models for intelligent transportation systems and autonomous vehicles: A survey;Advanced Engineering Informatics;2024-10

2. DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model;IEEE Robotics and Automation Letters;2024-10

3. Large Language Models for Intelligent Transportation: A Review of the State of the Art and Challenges;Applied Sciences;2024-08-23

4. Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessment;Heliyon;2024-08

5. Application of Large Language Models and Assessment of Their Ship-Handling Theory Knowledge and Skills for Connected Maritime Autonomous Surface Ships;Mathematics;2024-07-31

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