most citedRadial Basis Function Neural Networks for Formation Control of Unmanned Aerial Vehicles

22 citations · 86 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO202422 cited

Radial Basis Function Neural Networks for Formation Control of Unmanned Aerial Vehicles

Duy-Nam Bui, Manh Duong Phung

This paper addresses the problem of controlling multiple unmanned aerial vehicles (UAVs) cooperating in a formation to carry out a complex task such as surface inspection. We first…

cs.CV202412 cited

Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles

Minh Dang Tu, Kieu Trang Le, Manh Duong Phung

This work presents a neural network model capable of recognizing small and tiny objects in thermal images collected by unmanned aerial vehicles. Our model consists of three parts,…

eess.SY202422 cited

Ant Colony Optimization for Cooperative Inspection Path Planning Using Multiple Unmanned Aerial Vehicles

Duy Nam Bui, Thuy Ngan Duong, Manh Duong Phung

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 automa…

cs.RO20248 cited

Self-Reconfigurable V-shape Formation of Multiple UAVs in Narrow Space Environments

Duy Nam Bui, Manh Duong Phung, Hung Pham Duy

This paper presents the design and implementation of a self-reconfigurable V-shape formation controller for multiple unmanned aerial vehicles (UAVs) navigating through narrow space…

cs.HC20167 cited

Easy-setup eye movement recording system for human-computer interaction

Manh Duong Phung, Quang Vinh Tran, Kenji Hara +2

Tracking the movement of human eyes is expected to yield natural and convenient applications based on human-computer interaction (HCI). To implement an effective eye-tracking syste…

cs.CV201615 cited

Image segmentation based on histogram of depth and an application in driver distraction detection

Tran Hiep Dinh, Minh Trien Pham, Manh Duong Phung +3

This study proposes an approach to segment human object from a depth image based on histogram of depth values. The region of interest is first extracted based on a predefined thres…