Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels
In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
Global-local-feature-fused driver speech emotion detection for intelligent cockpit in automated driving
Affective interaction between the intelligent cockpit and humans is becoming an emerging
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …
MetaMining: Mining in the metaverse
Mines are one of the important energy sources in the world. Due to mining areas are often
affected by adverse weather and environmental conditions (sand, dust, extreme cold, heavy …
affected by adverse weather and environmental conditions (sand, dust, extreme cold, heavy …
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
S Zhao, Y Gao, T Wu, D Singh… - Proceedings of the …, 2024 - openaccess.thecvf.com
Simultaneous localization and mapping (SLAM) is a fundamental task for numerous
applications such as autonomous navigation and exploration. Despite many SLAM datasets …
applications such as autonomous navigation and exploration. Despite many SLAM datasets …
Railway virtual coupling: A survey of emerging control techniques
This paper provides a systematic review of emerging control techniques used for railway
virtual coupling (VC) studies. Train motion models are first reviewed, including model …
virtual coupling (VC) studies. Train motion models are first reviewed, including model …
Safefl: Mpc-friendly framework for private and robust federated learning
T Gehlhar, F Marx, T Schneider… - 2023 IEEE Security …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has gained widespread popularity in a variety of industries due to its
ability to locally train models on devices while preserving privacy. However, FL systems are …
ability to locally train models on devices while preserving privacy. However, FL systems are …
Learning autonomous control policy for intersection navigation with pedestrian interaction
Z Zhu, H Zhao - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
In recent years, great efforts have been devoted to deep imitation learning for autonomous
driving control, where raw sensory inputs are directly mapped to control actions. However …
driving control, where raw sensory inputs are directly mapped to control actions. However …
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 …
Cavsim: A microscopic traffic simulator for evaluation of connected and automated vehicles
Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …
intelligent transportation system. In recent years, researchers have proposed various …