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 …
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 …
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 …
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 …
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 …
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 …
AccidentGPT: Accident analysis and prevention from V2X environmental perception with multi-modal large model
Traffic accidents, being a significant contributor to both human casualties and property
damage, have long been a focal point of research for many scholars in the field of traffic …
damage, have long been a focal point of research for many scholars in the field of traffic …
Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes
K Yang, Z Guo, G Lin, H Dong, D Zuo, J Peng… - arXiv preprint arXiv …, 2023 - arxiv.org
We advocate the idea of the natural-language-driven (NLD) simulation to efficiently produce
the object interactions between multiple objects in the virtual road scenes, for teaching and …
the object interactions between multiple objects in the virtual road scenes, for teaching and …