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 …
GPT-4V Explorations: Mining Autonomous Driving
Z Li - arXiv preprint arXiv:2406.16817, 2024 - arxiv.org
This paper explores the application of the GPT-4V (ision) large visual language model to
autonomous driving in mining environments, where traditional systems often falter in …
autonomous driving in mining environments, where traditional systems often falter in …
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 …
[HTML][HTML] DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model
R Zhao, Q Yuan, J Li, Y Fan, Y Li… - Sensors (Basel …, 2024 - ncbi.nlm.nih.gov
Human-level driving is the ultimate goal of autonomous driving. As the top-level decision-
making aspect of autonomous driving, behavior decision establishes short-term driving …
making aspect of autonomous driving, behavior decision establishes short-term driving …
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 …