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 …

Aiming at the problem of easy misdetection and omission of small targets of long-distance
vehicles in detecting vehicles in traffic scenes, an improved YOLOX_S detection model is …

In dynamic environments, several simultaneous localization and map** (SLAM) systems
effectively utilize optical flow fields to distinguish dynamic from static feature points …

During the production process, Printed circuit boards (PCBs) may encounter many defect
issues which can severely affect the functionality of the circuit. However, existing PCB defect …

Driver drowsiness and fatigue are widely recognized as prevailing factors contributing to
motor vehicle collisions. Annually, there is a significant increase in the number of deaths and …

Object detection is an essential component of autonomous driving, unmanned aerial vehicle
(UAV) reconnaissance, and other domains. It equips drones and vehicles with the capability …

Advances in technology have made people's lives more prosperous. However, the increase
in the number of cars and the emergence of autonomous driving technology have led to …

Accurately and rapidly recognizing the behaviors of group-housed pigs plays a very
important role in pig farm production management. Recognizing multiple behaviors in one …

Real-time object detection plays a critical role in advancing autonomous driving
technologies. To meet the demands for real-time performance, a lightweight model is …

The ground object distribution in remote sensing images exhibits strong regularities.
However, existing deep learning-based object detection models often focus solely on …