Localization is the first critical step for picking robots to successfully grasp fruit. However,
classical binocular localization methods adopted global matching for kiwifruit, which may …

To address the issue of low accuracy in insulator object detection within power systems due
to a scarcity of image sample data, this paper proposes a method for identifying insulator …

Object detection has experienced a surge in interest due to its relevance in video analysis
and image interpretation. Traditional object detection approaches relied on handcrafted …

Maintenance, Repair, and Overhaul (MRO) hangar operations, where mobile robots
navigate complex and dynamic environments for Aircraft visual inspection. Aircraft hangars …

In this paper, an intelligent blind guide system based on 2D LiDAR and RGB-D camera
sensing is proposed, and the system is mounted on a smart cane. The intelligent guide …

Panoramic imaging is increasingly critical in UAVs and high-altitude surveillance
applications. In addressing the challenges of detecting small targets within wide-area, high …

Object detection is of significant importance in the field of computer vision, since it has
extensive applications across many sectors. The emergence of YOLO (You Only Look Once) …

The current digital environment is characterized by the widespread presence of data,
particularly unstructured data, which poses many issues in sectors including finance …

YOLOv5 is currently one of the mainstream algorithms for object detection. In this paper, we
propose the FRL-YOLO model specifically for river floating object detection. The algorithm …

Detecting pedestrians in low-light conditions is challenging, especially in the context of
wearable platforms. Infrared cameras have been employed to enhance detection …