Search Results for author:
Found 18 papers, 3 papers with code
Ant Colony Optimization for Cooperative Inspection Path Planning Using Multiple Unmanned Aerial Vehicles
This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automatic inspection of infrastructure.
Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles
The neck includes a BI-FPN block combined with the use of a sliding window and a transformer to increase the information fed into the prediction head.
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems
A trained T1 class Convolutional Neural Network (CNN) model will be used to examine its ability to successfully identify motor imagery when fed pre-processed electroencephalography (EEG) data.
Enhanced Teaching-Learning-based Optimization for 3D Path Planning of Multicopter UAVs
This paper introduces a new path planning algorithm for unmanned aerial vehicles (UAVs) based on the teaching-learning-based optimization (TLBO) technique.
Development of a Fast and Robust Gaze Tracking System for Game Applications
In this study, a novel eye tracking system using a visual camera is developed to extract human's gaze, and it can be used in modern game machines to bring new and innovative interactive experience to players.
Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
The proposed technique is then applied to identify surface cracks on the surface of roads, bridges or pavements.
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization
A cost function is first formulated to convert the path planning into an optimization problem that incorporates requirements and constraints for the feasible and safe operation of the UAV.
Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs
This paper presents a novel algorithm named the motion-encoded particle swarm optimization (MPSO) for finding a moving target with unmanned aerial vehicles (UAVs).
Built Infrastructure Monitoring and Inspection Using UAVs and Vision-based Algorithms
This study presents an inspecting system using real-time control unmanned aerial vehicles (UAVs) to investigate structural surfaces.
Development of a Fuzzy-based Patrol Robot Using in Building Automation System
A Building Automation System (BAS) has functions of monitoring and controlling the operation of all building sub-systems such as HVAC (Heating-Ventilation, Air-conditioning Control), electric consumption management, fire alarm control, security and access control, and appliance switching control.
Recognition of 26 Degrees of Freedom of Hands Using Model-based approach and Depth-Color Images
In this study, we present an model-based approach to recognize full 26 degrees of freedom of a human hand.
Crack Detection Using Enhanced Hierarchical Convolutional Neural Networks
Unmanned aerial vehicles (UAV) are expected to replace human in hazardous tasks of surface inspection due to their flexibility in operating space and capability of collecting high quality visual data.
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera
This paper addresses the problem of lane detection which is fundamental for self-driving vehicles.
Automatic Crack Detection in Built Infrastructure Using Unmanned Aerial Vehicles
Our approach includes two stages, data collection using unmanned aerial vehicles (UAVs) and crack detection using histogram analysis.
Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic inspection of large surfaces using computer vision.
Behavior-based Navigation of Mobile Robot in Unknown Environments Using Fuzzy Logic and Multi-Objective Optimization
Each behavior is implemented by a fuzzy controller and executed independently to deal with a specific problem of navigation.
Easy-setup eye movement recording system for human-computer interaction
Tracking the movement of human eyes is expected to yield natural and convenient applications based on human-computer interaction (HCI).
Image segmentation based on histogram of depth and an application in driver distraction detection
This study proposes an approach to segment human object from a depth image based on histogram of depth values.
