Deep learning methods for space situational awareness in mega-constellations satellite-based internet of things networks

F Massimi, P Ferrara, F Benedetto - Sensors, 2022 - mdpi.com
Artificial Intelligence of things (AIoT) is the combination of Artificial Intelligence (AI)
technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' …

Obstacle detection in dangerous railway track areas by a convolutional neural network

D He, K Li, Y Chen, J Miao, X Li… - Measurement Science …, 2021 - iopscience.iop.org
The obstacle detection in the dangerous area of railway track is an important research
direction in the field of the driverless train. Traditional obstacle detection methods have …

Gaze control system for tracking Quasi-1D high-speed moving object in complex background

S Geng, C Zhu, Y Jin, L Wang, H Tan - Systems Science & Control …, 2022 - Taylor & Francis
A gaze control system for tracking Quasi-1D high-speed moving object is proposed, it can
keep the object in the centre of the image within a certain range. Initially, the system …

Object Detection and Monitor System for Building Security Based on Internet of Things (IoT) Using Illumination Invariant Face Recognition

I Chatisa, YA Syahbana… - Kinetik: Game Technology …, 2023 - kinetik.umm.ac.id
Theft and intrusion are crimes that often occur in neighborhoods when there is opportunity or
negligence by owners and security personnel. Many studies have been carried out to …

Oriented Clustering Reppoints for Resident Space Objects Detection in Time Delay Integration Images

Z Fu, Y Lei, X Tang, T Xu, G Tian, S Gao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The rotation of camera during scanning imaging induces the image degradation, which
means both resident space objects (RSOs) and stars have the same morphological …

Multi-Stream Isolated Sign Language Recognition Based on Finger Features Derived from Pose Data

A Akdag, OK Baykan - Electronics, 2024 - mdpi.com
This study introduces an innovative multichannel approach that focuses on the features and
configurations of fingers in isolated sign language recognition. The foundation of this …

Detection and tracking of a moving target for UAV based on machine vision

D Qi, Z Li, B Ren, P Lei, X Yang - 2021 7th International …, 2021 - ieeexplore.ieee.org
With the continuously development of the technology related to unmanned air vehicle (UAV),
the automation and intelligent levels become higher and higher. In view of the actual needs …

Employing a multi-sensor fusion array to detect objects for an orbital transfer vehicle to remove space debris

K Jani - International Journal of Intelligent Unmanned Systems, 2024 - emerald.com
Purpose This article takes into account object identification, enhanced visual feature
optimization, cost effectiveness and speed selection in response to terrain conditions …

Research on moving liquid level detection method of viscometer in dynamic scene

L Xia, J Rongyao, Z Kun, Z Qinjun, S Mingxu - Mobile Networks and …, 2024 - Springer
In order to solve the problem of false detection of the moving liquid level caused by the
vibration of the constant temperature water bath, this paper combines the Type-2 Fuzzy …

Early and objective evaluation of the therapeutic effects of ADHD medication through movement analysis using video recording pixel subtraction

YH Lee, CS Ouyang, YH Chiu, CT Chiang… - International Journal of …, 2022 - mdpi.com
Attention-deficit/hyperactivity disorder (ADHD) affects approximately 5–7% of school-age
children. ADHD is usually marked by an ongoing pattern of inattention or hyperactivity …