Drive like a human: Rethinking autonomous driving with large language models
In this paper, we explore the potential of using a large language model (LLM) to understand
the driving environment in a human-like manner and analyze its ability to reason, interpret …
the driving environment in a human-like manner and analyze its ability to reason, interpret …
How simulation helps autonomous driving: A survey of sim2real, digital twins, and parallel intelligence
Developing autonomous driving technologies necessitates addressing safety and cost
concerns. Both academic research and commercial applications of autonomous driving …
concerns. Both academic research and commercial applications of autonomous driving …
Languagempc: Large language models as decision makers for autonomous driving
Existing learning-based autonomous driving (AD) systems face challenges in
comprehending high-level information, generalizing to rare events, and providing …
comprehending high-level information, generalizing to rare events, and providing …
The future of autonomous vehicles in the US urban landscape: a review: analyzing implications for traffic, urban planning, and the environment
This study presents a comprehensive analysis of the impact of autonomous vehicles (AVs)
on urban landscapes, focusing on traffic management, urban planning, and environmental …
on urban landscapes, focusing on traffic management, urban planning, and environmental …
Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
Dilu: A knowledge-driven approach to autonomous driving with large language models
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …
are widely adopted but face challenges including dataset bias, overfitting, and …
Mining 5.0: Concept and framework for intelligent mining systems in CPSS
This letter is part of the Intelligent Mining Development Forum and aims to summarize the
discussions of Mining 5.0 from Intelligent Vehicle 5.0 project by IEEE TIV, which represents a …
discussions of Mining 5.0 from Intelligent Vehicle 5.0 project by IEEE TIV, which represents a …
Smart mining with autonomous driving in industry 5.0: Architectures, platforms, operating systems, foundation models, and applications
The increasing importance of mineral resources in contemporary society is becoming more
prominent, playing an indispensable and crucial role in the global economy. These …
prominent, playing an indispensable and crucial role in the global economy. These …
Scenario engineering for autonomous transportation: A new stage in open-pit mines
In recent years, open-pit mining has seen significant advancement, the cooperative
operation of various specialized machinery substantially enhancing the efficiency of mineral …
operation of various specialized machinery substantially enhancing the efficiency of mineral …
High-precision positioning, perception and safe navigation for automated heavy-duty mining trucks
Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
enabling the deployment of excellent positioning, detection, and navigation algorithms on …