Empowering Autonomous Driving with Large Language Models: A Safety Perspective
Autonomous Driving (AD) faces crucial hurdles for commercial launch, notably in the form of
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …
DriveLLM: Charting the path toward full autonomous driving with large language models
Human drivers instinctively reason with commonsense knowledge to predict hazards in
unfamiliar scenarios and to understand the intentions of other road users. However, this …
unfamiliar scenarios and to understand the intentions of other road users. However, this …
Languagempc: Large language models as decision makers for autonomous driving
Existing learning-based autonomous driving (AD) systems face challenges in
comprehending high-level information, generalizing to rare events, and providing …
comprehending high-level information, generalizing to rare events, and providing …
Lmdrive: Closed-loop end-to-end driving with large language models
Despite significant recent progress in the field of autonomous driving modern methods still
struggle and can incur serious accidents when encountering long-tail unforeseen events …
struggle and can incur serious accidents when encountering long-tail unforeseen events …
Lampilot: An open benchmark dataset for autonomous driving with language model programs
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …
frameworks struggle to interpret and execute spontaneous user instructions such as" …
Drive as you speak: Enabling human-like interaction with large language models in autonomous vehicles
The future of autonomous vehicles lies in the convergence of human-centric design and
advanced AI capabilities. Autonomous vehicles of the future will not only transport …
advanced AI capabilities. Autonomous vehicles of the future will not only transport …
Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving
Large Language Models (LLMs) have garnered significant attention for their ability to
understand text and images, generate human-like text, and perform complex reasoning …
understand text and images, generate human-like text, and perform complex reasoning …
Drive like a human: Rethinking autonomous driving with large language models
In this paper, we explore the potential of using a large language model (LLM) to understand
the driving environment in a human-like manner and analyze its ability to reason, interpret …
the driving environment in a human-like manner and analyze its ability to reason, interpret …
A survey of large language models for autonomous driving
Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …
mobility, has the tend to transition from rule-based systems to data-driven strategies …
Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles
The fusion of human-centric design and artificial intelligence capabilities has opened up
new possibilities for next-generation autonomous vehicles that go beyond traditional …
new possibilities for next-generation autonomous vehicles that go beyond traditional …