Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) have been increasingly used for
bridge inspection. Although UAVs are expected to automate the whole bridge inspection …
bridge inspection. Although UAVs are expected to automate the whole bridge inspection …
Visual structural inspection datasets
As research has turned to the success of artificial intelligence to augment the inspection
process, the need for image data is particularly present. However, across the structural …
process, the need for image data is particularly present. However, across the structural …
Integrated inspection of QoM, QoP, and QoS for AOI industries in metaverses
Briefing: With the rapid development of information technologies such as digital twin,
extended reality, and blockchain, the hype around “metaverse” is increasing at astronomical …
extended reality, and blockchain, the hype around “metaverse” is increasing at astronomical …
Cognitive-based crack detection for road maintenance: an integrated system in cyber-physical-social systems
Effective road maintenance can not only achieve a balance between limited resources and
long-term high-efficiency performance of road but also reduce the loss of life and property …
long-term high-efficiency performance of road but also reduce the loss of life and property …
Real-time concrete damage detection using deep learning for high rise structures
Nowadays, the number of aging high-rise civil structures is growing throughout the world,
and most of them use concrete as a building material. Concrete may lose its strength due to …
and most of them use concrete as a building material. Concrete may lose its strength due to …
Quantized control capable of appointed-time performances for quadrotor attitude tracking: Experimental validation
X Shao, L Xu, W Zhang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In this article, a quantized control capable of appointed-time performances for quadrotor
attitude tracking is investigated. A continuous and piecewise behavior boundary, rather than …
attitude tracking is investigated. A continuous and piecewise behavior boundary, rather than …
Deep learning for 3D object recognition: A survey
With the growing availability of extensive 3D datasets and the rapid progress in
computational power, deep learning (DL) has emerged as a highly promising approach for …
computational power, deep learning (DL) has emerged as a highly promising approach for …
Adaptive formation control for unmanned aerial vehicles with collision avoidance and switching communication network
Y Yu, C Chen, J Guo, M Chadli… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A collision-free formation control problem for multiple unmanned aerial vehicles (UAVs) with
directed switching topologies and disturbances is investigated. A novel distributed control …
directed switching topologies and disturbances is investigated. A novel distributed control …
Direction control and adaptive path following of 3-D snake-like robot motion
Z Cao, D Zhang, MC Zhou - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This work investigates direction control and path following of a 3-D snake-like robot. In order
to control such robots accurately, this work researches the relationships between its phase …
to control such robots accurately, this work researches the relationships between its phase …
Surface defects 3D localization for fluorescent magnetic particle inspection via regional reconstruction and partial-in-complete point clouds registration
Accurate three-dimensional localization of defects plays a crucial role in the automated
defect marking and grinding process. However, this task becomes increasingly intricate …
defect marking and grinding process. However, this task becomes increasingly intricate …