Results 51 to 60 of about 1,576,564 (201)
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
In the context of autonomous driving, the fusion of LiDAR and camera sensors is essential for robust obstacle detection and distance estimation. However, accurately estimating the transformation matrix between cost-effective low-resolution LiDAR and ...
Ravichandran Rajesh +1 more
doaj +1 more source
Observing Electrical Discharge With High 3D Spatial Resolution
ABSTRACT This study introduces an application of binocular stereo vision technology to achieve high‐resolution 3D visualisation of submillimeter discharge channels. The proposed method can capture the depth information of weak luminous discharges and provide 3D discharge trajectories, providing new insights into the discharge mechanism.
Zhicheng Wu +5 more
wiley +1 more source
Image-Based Bolt-Loosening Detection Using a Checkerboard Perspective Correction Method
In this paper, a new image-correction method for flange joint bolts is proposed. A checkerboard is arranged on the side of a flange node bolt, and the homography matrix can be estimated using more than four feature points, which include the checkerboard ...
Chengqian Xie +6 more
doaj +1 more source
A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics
ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
wiley +1 more source
A Review of Homography Estimation: Advances and Challenges
Images captured from different viewpoints or devices have often exhibited significant geometric and photometric differences due to factors such as environmental variations, camera technology differences, and shooting conditions’ instability.
Xingyi Wang +6 more
core +1 more source
ABSTRACT Monitoring recreational fisheries is difficult: anglers are widely dispersed, gear and practices vary, and many species are involved, which leads to fragmented and scarce data. To address these issues, we developed an Artificial Intelligence (AI) pipeline that turns angler‐reported photos into standardised records of catch composition and ...
Marco Signaroli +9 more
wiley +1 more source
Spacecraft Homography Pose Estimation with Single-Stage Deep Convolutional Neural Network
Spacecraft pose estimation using computer vision has garnered increasing attention in research areas such as automation system theory, control theory, sensors and instruments, robot technology, and automation software.
Shengpeng Chen +5 more
doaj +1 more source
Real-Time Dynamic SLAM Algorithm Based on Deep Learning
In the traditional visual simultaneous localization and mapping (SLAM), the strong static assumption leads to a large degradation in the accuracy of visual SLAM in dynamic environments.
Peng Su, Suyun Luo, Xiaoci Huang
doaj +1 more source

