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 …
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 …
[PDF][PDF] 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 …
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 …
FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
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 …
ACP-incorporated perturbation-resistant neural dynamics controller for autonomous vehicles
Autonomous vehicle control systems are unavoidably influenced by diverse noise
perturbations from the unpredictable external environment and internal system. In this …
perturbations from the unpredictable external environment and internal system. In this …
Mining 5.0: Concept and framework for intelligent mining systems in CPSS
L Chen, J Xie, X Zhang, J Deng, S Ge… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
Vehicle dynamic dispatching using curriculum-driven reinforcement learning
This study focuses on optimizing resource allocation problems in complex dynamic
environments, specifically vehicle dispatching in closed bipartite queuing networks. We …
environments, specifically vehicle dispatching in closed bipartite queuing networks. We …
Deep transfer learning for intelligent vehicle perception: A survey
Deep learning-based intelligent vehicle perception has been developing prominently in
recent years to provide a reliable source for motion planning and decision making in …
recent years to provide a reliable source for motion planning and decision making in …