Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...

The YOLO methods used in this software are described in the paper: You Only Look Once: Unified, Real-Time Object Detection. If you are using YOLO V3 for ROS, please ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

An autonomous navigation by a UAV towards it's target such as another military tank or vehicles - based on the detection, locking-on and following the movements of the target is a much needed ...

Detecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability. Practical detection, however, presents challenges including varied target ...

Object detection has been a fundamental challenge in the computer vision industry, with applications in robotics, image understanding, autonomous vehicles, and image recognition. In recent years, ...

The complexity of fire and smoke in terms of shape, texture, and color presents significant challenges for accurate fire and smoke detection. To address this, a YOLOv8-based detection algorithm ...

July 6th 2022 will be marked down as a landmark in AI history because it was on this day when YOLOv7 was released. Ever since its launch, the YOLOv7 has been the hottest topic in the Computer Vision ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. After YOLOv8, there's yet a ...

Abstract: In this paper, we have presented the work that we have done pertaining to object detection for the purpose of aiding autonomous vehicles during navigation. The detections are carried out ...