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 …

This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

This paper provides a comprehensive review of the integration of advanced power
management systems and learning techniques in the field of robotics. It identifies the critical …

The emergence of software-defined vehicles (SDVs), combined with autonomous driving
technologies, has enabled a new era of vehicle computing (VC), where vehicles serve as a …

Learning contextual and spatial environmental representations enhances autonomous
vehicle's hazard anticipation and decision-making in complex scenarios. Recent perception …

The positive role of electrical capacitance tomography technology depends on high-
precision tomographic images. Despite its success, one of the main barriers is the low …

Being able to assess the confidence of individual predictions in machine learning models is
crucial for decision making scenarios. Specially, in critical applications such as medical …

Convolutional neural networks have made significant strides in solving computer-vision
tasks at the expense of high computational demands. This complexity hinders efficient …

Infrared and visible image fusion represents a significant segment within the image fusion
domain. The recent surge in image processing hardware advancements, including GPUs …