Results 71 to 80 of about 9,669 (275)

RUC-Net: A Residual-Unet-Based Convolutional Neural Network for Pixel-Level Pavement Crack Segmentation

Sensors, 2022
Automatic crack detection is always a challenging task due to the inherent complex backgrounds, uneven illumination, irregular patterns, and various types of noise interference.
Gui Yu, Juming Dong, Yihang Wang, Xinglin Zhou   +3 more
doaj   +1 more source

Detection of pavement cracks using tiled fuzzy Hough transform [PDF]

Journal of Electronic Imaging, 2017
Surface cracks can be the bellwether of the failure of a road. Hence, crack detection is indispensable for the condition monitoring and quality control of road surfaces. Pavement images have high levels of intensity variation and texture content; hence, the crack detection is generally difficult.
Mathavan, S, Vaheesan, K, Kumar, A, Chandrakumar, C, Kamal, K, Rahman, M, Stonecliffe-Jones, M   +6 more
openaire   +4 more sources

High resolution trichromatic road surface scanning with a line scan camera and light emitting diode lighting for road-kill detection [PDF]

, 2016
This paper presents a road surface scanning system that operates with a trichromatic line scan camera with light emitting diode (LED) lighting achieving road surface resolution under a millimeter.
Franch, Marc, Gonçalves-Seco, Luís, Lopes, Gil, Ribeiro, A. Fernando, Sillero, Neftalí, Silva, Cristiano, Trigueiros, Paulo   +6 more
core   +2 more sources

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Small-sample data-driven lightweight convolutional neural network for asphalt pavement defect identification

Case Studies in Construction Materials
Automatic detection technology provides a reliable method for civil engineering distress detection. However, to overcome limitations of computational resources and the significant cost of image acquisition, this study proposes a simplified network ...
Jia Liang, Qipeng Zhang, Xingyu Gu
doaj   +1 more source

A new machine for acquire pavement texture [PDF]

, 2009
This paper presents a prototype machine for the acquisition and characterization of the macrotexture and megatexture of road surfaces. The development stages of the prototype machine involved: 3D data acquisition system configuration and calibration ...
Fonseca, Jaime C., Freitas, Elisabete F., Pinho, A. C. Marques de, Vilaça, João L.   +3 more
core   +1 more source

Understanding and Optimizing Li Substitution in P2‐Type Sodium Layered Oxides for Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous 
Mingfeng Xu, Giovanni Gammaitoni, Michael Häfner, Eduardo Villalobos‐Portillo, Carlo Marini, Matteo Bianchini   +5 more
wiley   +1 more source

A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection

International Journal of Computational Intelligence Systems
Pavement crack detection is widely spread over road maintenance, ensuring the longevity and safety of infrastructure. Traditional manual inspection methods are time-consuming, labor-intensive, and prone to errors.
Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu   +4 more
doaj   +1 more source

Autonomous Robotic System using Non-Destructive Evaluation methods for Bridge Deck Inspection

, 2017
Bridge condition assessment is important to maintain the quality of highway roads for public transport. Bridge deterioration with time is inevitable due to aging material, environmental wear and in some cases, inadequate maintenance.
Berendsen, Tony, Falk, Logan, Gibb, Spencer, La, Hung Manh, Le, Tuan   +4 more
core   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source