Perspectives on Advanced Technologies in Spatial Data Collection and Analysis

HH Hochmair, G Navratil, H Huang - Geographies, 2023 - mdpi.com
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 …

[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 …

Estimating Pavement Condition by Leveraging Crowdsourced Data

Y Gu, M Khojastehpour, X Jia, LD Han - Remote Sensing, 2024 - mdpi.com
Monitoring pavement conditions is critical to pavement management and maintenance.
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 …