[HTML][HTML] Comprehensive systematic review of information fusion methods in smart cities and urban environments
Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …
[HTML][HTML] A Survey of the Real-Time Metaverse: Challenges and Opportunities
The metaverse concept has been evolving from static, pre-rendered virtual environments to
a new frontier: the real-time metaverse. This survey paper explores the emerging field of real …
a new frontier: the real-time metaverse. This survey paper explores the emerging field of real …
Semantic understanding and prompt engineering for large-scale traffic data imputation
K Zhang, F Zhou, L Wu, N ** Urban Impervious Surface
The integration of optical and SAR datasets through ensemble machine learning models
shows promising results in urban remote sensing applications. The integration of multi …
shows promising results in urban remote sensing applications. The integration of multi …
A comparative analysis of multi-label deep learning classifiers for real-time vehicle detection to support intelligent transportation systems
An Intelligent Transportation System (ITS) is a vital component of smart cities due to the
growing number of vehicles year after year. In the last decade, vehicle detection, as a …
growing number of vehicles year after year. In the last decade, vehicle detection, as a …
Multi-modal sensor fusion and object tracking for autonomous racing
Reliable detection and tracking of surrounding objects are indispensable for comprehensive
motion prediction and planning of autonomous vehicles. Due to the limitations of individual …
motion prediction and planning of autonomous vehicles. Due to the limitations of individual …