This paper provides a comprehensive review of the YOLO (You Only Look Once) framework
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …

In recent years, the safety issues of high-speed railways have remained severe. The
intrusion of personnel or obstacles into the perimeter has often occurred in the past, causing …

Vehicle detection and recognition in drone images is a complex problem that has been used
for different safety purposes. The main challenge of these images is captured at oblique …

For maritime autonomous surface ships, challenges exist in visual detection of ships in sea
foggy scenarios, thereby severely degrading visual detection autonomy. In this paper, math …

The visible-light camera, which is capable of environment perception and navigation
assistance, has emerged as an essential imaging sensor for marine surface vessels in …

The deployment of autonomous vehicles (AVs) is rapidly expanding to numerous cities. At
the heart of AVs, the object detection module assumes a paramount role, directly influencing …

Recent advancements in computer vision technology, developments in sensors and sensor-
collecting approaches, and the use of deep and transfer learning approaches have excelled …

In low-light conditions, the detection scene can be harsh, some fundamental image features
of the target to be lost, which can result in the disappearance of essential visual …

Adverse weather conditions often impair the quality of captured images, inevitably inducing
cutting-edge object detection models for advanced driver assistance systems (ADAS) and …

Abstract Synthetic Aperture Radar (SAR) object detection is one of the key measures to
ensure maritime traffic and safety. However, SAR images contain a large amount of speckle …