Many people go missing in the wild every year. In this paper, the Search and Rescue (SAR)
mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) …

In recent years, edge computing has become an essential technology for real-time
application development by moving processing and storage capabilities close to end …

Abstract Machine learning algorithms based on convolutional neural networks (CNNs) have
recently been explored in a myriad of object detection applications. Nonetheless, many …

Telescopic cranes are powerful lifting facilities employed in construction, transportation,
manufacturing and other industries. Since the ground workforce cannot be aware of their …

Unmanned aerial vehicles (UAVs) have grown in popularity over the last decade, with
applications ranging from agriculture to commercial and widespread use in search and …

ABSTRACT Unmanned Aerial Vehicles (UAVs) are promising technologies within many
different application scenarios including human detection in search and rescue and …

This study proposes a novel illumination-aware image fusion technique and a Convolutional
Neural Network (CNN) called BlendNet to significantly enhance the robustness and real …

What makes unmanned aerial vehicles (UAVs) intelligent is their capability of sensing and
understanding new unknown environments. Some studies utilize computer vision algorithms …

There has been an increasing trend to use multiple drones to cooperate autonomously
beyond visual line-of-sight missions such as remote services, digital governance and …

Timely and accurate detection and recognition of traffic lights are critical for Autonomous
Vehicles (AVs) to avoid crashes due to red light running. This paper integrates a new robust …