Perspectives on Advanced Technologies in Spatial Data Collection and Analysis
The motivation to organize this Special Issue originated from the observation of rapid
changes taking place in the domain of geographical information science and systems over …
changes taking place in the domain of geographical information science and systems over …
[HTML][HTML] An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
S Cano-Ortiz, LL Iglesias, PMR del Árbol… - … and Building Materials, 2024 - Elsevier
The performance of deep learning-based computer vision systems for road infrastructure
assessment is hindered by the scarcity of real-world, high-volume public datasets. Current …
assessment is hindered by the scarcity of real-world, high-volume public datasets. Current …
Estimating Pavement Condition by Leveraging Crowdsourced Data
Monitoring pavement conditions is critical to pavement management and maintenance.
Traditionally, pavement distress is mainly identified via accelerometers, videos, and laser …
Traditionally, pavement distress is mainly identified via accelerometers, videos, and laser …
Using Weakly Supervised Semantic Segmentation for Post-Disaster Scene Understanding
Y Jiang, B Uwakweh - Construction Research Congress 2024 - ascelibrary.org
Creating semantic segmentation datasets is more time-consuming than the preparation of
image-level classification labels. This paper presents a cost-efficient pixel labeling method …
image-level classification labels. This paper presents a cost-efficient pixel labeling method …