A survey on multimodal large language models for autonomous driving
With the emergence of Large Language Models (LLMs) and Vision Foundation Models
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …
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" …
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 …
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 …
Vision language models in autonomous driving and intelligent transportation systems
The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving
(AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to …
(AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to …
On the road with gpt-4v (ision): Early explorations of visual-language model on autonomous driving
The pursuit of autonomous driving technology hinges on the sophisticated integration of
perception, decision-making, and control systems. Traditional approaches, both data-driven …
perception, decision-making, and control systems. Traditional approaches, both data-driven …
Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving
Large language models (LLMs) have opened up new possibilities for intelligent agents,
endowing them with human-like thinking and cognitive abilities. In this work, we delve into …
endowing them with human-like thinking and cognitive abilities. In this work, we delve into …
A language agent for autonomous driving
Human-level driving is an ultimate goal of autonomous driving. Conventional approaches
formulate autonomous driving as a perception-prediction-planning framework, yet their …
formulate autonomous driving as a perception-prediction-planning framework, yet their …
Towards knowledge-driven autonomous driving
This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …
investigation highlights the limitations of current autonomous driving systems, in particular …
Large language models as traffic signal control agents: Capacity and opportunity
Traffic signal control is crucial for optimizing the efficiency of road network by regulating
traffic light phases. Existing research predominantly focuses on heuristic or reinforcement …
traffic light phases. Existing research predominantly focuses on heuristic or reinforcement …