Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
A survey on multimodal large language models for autonomous driving
With the emergence of Large Language Models (LLMs) and Vision Foundation Models
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …
Big data analysis of the internet of things in the digital twins of smart city based on deep learning
X Li, H Liu, W Wang, Y Zheng, H Lv, Z Lv - Future Generation Computer …, 2022 - Elsevier
The study aims to conduct big data analysis (BDA) on the massive data generated in the
smart city Internet of things (IoT), make the smart city change to the direction of fine …
smart city Internet of things (IoT), make the smart city change to the direction of fine …
Deep learning for security in digital twins of cooperative intelligent transportation systems
Z Lv, Y Li, H Feng, H Lv - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
The purpose is to solve the security problems of the Cooperative Intelligent Transportation
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …
the substantial development in the smart automobile industries. Internet of Vehicles' …
Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare
Z Lv, Z Yu, S Xie, A Alamri - ACM Transactions on Multimedia Computing …, 2022 - dl.acm.org
Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
Transfer learning enhanced vision-based human activity recognition: a decade-long analysis
The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …
way to extend the reach of humans in various real-world applications. Classical machine …
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving
The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …
vehicle intelligence. The significant increment of machine intelligence poses a new …