On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
The development of autonomous driving technology depends on merging perception,
decision, and control systems. Traditional strategies have struggled to understand complex …
decision, and control systems. Traditional strategies have struggled to understand complex …
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: A survey and outlook
The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …
have attracted widespread attention due to their outstanding performance and the ability to …
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 …
Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
Recent research about Large Language Model based autonomous driving solutions shows
a promising picture in planning and control fields. However, heavy computational resources …
a promising picture in planning and control fields. However, heavy computational resources …
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases
Large Vision-Language Models (LVLMs), due to the remarkable visual reasoning ability to
understand images and videos, have received widespread attention in the autonomous …
understand images and videos, have received widespread attention in the autonomous …
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
A primary hurdle of autonomous driving in urban environments is understanding complex
and long-tail scenarios, such as challenging road conditions and delicate human behaviors …
and long-tail scenarios, such as challenging road conditions and delicate human behaviors …
Embodied understanding of driving scenarios
Embodied scene understanding serves as the cornerstone for autonomous agents to
perceive, interpret, and respond to open driving scenarios. Such understanding is typically …
perceive, interpret, and respond to open driving scenarios. Such understanding is typically …
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 …
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
In the past decade, autonomous driving has experienced rapid development in both
academia and industry. However, its limited interpretability remains a significant unsolved …
academia and industry. However, its limited interpretability remains a significant unsolved …