Gpt-driver: Learning to drive with gpt
We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model
into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge …
into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge …
Large language models empowered agent-based modeling and simulation: A survey and perspectives
Agent-based modeling and simulation has evolved as a powerful tool for modeling complex
systems, offering insights into emergent behaviors and interactions among diverse agents …
systems, offering insights into emergent behaviors and interactions among diverse agents …
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 …
ChatGPT as your vehicle co-pilot: An initial attempt
One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …
human intention and the machine's understanding and execution. Large Language Models …
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 …
Surrealdriver: Designing generative driver agent simulation framework in urban contexts based on large language model
Y Jin, X Shen, H Peng, X Liu, J Qin, J Li, J Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
Simulation plays a critical role in the research and development of autonomous driving and
intelligent transportation systems. However, the current simulation platforms exhibit …
intelligent transportation systems. However, the current simulation platforms exhibit …
Dolphins: Multimodal language model for driving
The quest for fully autonomous vehicles (AVs) capable of navigating complex real-world
scenarios with human-like understanding and responsiveness. In this paper, we introduce …
scenarios with human-like understanding and responsiveness. In this paper, we introduce …
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 …