In response to the current challenges fire detection algorithms encounter, including low
detection accuracy and limited recognition rates for small fire targets in complex …

In recent years, the application of object detection in the military field has become more and
more extensive, and the detection of aircraft objects in remote sensing images can provide …

Unmanned rescue systems have become an efficient means of executing maritime search
and rescue operations, ensuring the safety of rescue personnel. Unmanned aerial vehicles …

Small target detection is still a challenging task, especially when looking at fast and accurate
solutions for mobile or edge applications. In this work, we present YOLO-S, a simple, fast …

Intelligent video surveillance plays a pivotal role in enhancing the infrastructure of smart
urban environments. The seamless integration of multi-angled cameras, functioning as …

This paper presents a comprehensive review of the evolution of the YOLO (You Only Look
Once) object detection algorithm, focusing on YOLOv5, YOLOv8, and YOLOv10. We analyze …

Detecting vehicles is a crucial task in autonomous driving systems for highways. However,
current detection algorithms used in such scenarios may face issues such as overlooking or …

Aiming at real-time detection of UAVs, small UAV targets are easily missed and difficult to
detect in complex backgrounds. To maintain high detection performance while reducing …

Ambulance vehicles face a challenging issue in minimizing the response time for an
emergency call due to the high volume of traffic and traffic signal delays. Several research …

Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …