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 …
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 …
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 …
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving
Talk2BEV is a large vision-language model (LVLM) interface for bird's-eye view (BEV) maps
in autonomous driving contexts. While existing perception systems for autonomous driving …
in autonomous driving contexts. While existing perception systems for autonomous driving …
GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events
The recognition and understanding of traffic incidents, particularly traffic accidents, is a topic
of paramount importance in the realm of intelligent transportation systems and intelligent …
of paramount importance in the realm of intelligent transportation systems and intelligent …
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving
Talk2BEV is a large vision-language model (LVLM) interface for bird's-eye view (BEV) maps
in autonomous driving contexts. While existing perception systems for autonomous driving …
in autonomous driving contexts. While existing perception systems for autonomous 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 …
[PDF][PDF] Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving
Large vision-language models (VLMs) have garnered increasing interest in autonomous
driving areas, due to their advanced capabilities in complex reasoning tasks essential for …
driving areas, due to their advanced capabilities in complex reasoning tasks essential for …
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving
Vision-Language Models (VLMs) and Multi-Modal Language models (MMLMs) have
become prominent in autonomous driving research, as these models can provide …
become prominent in autonomous driving research, as these models can provide …
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 …