Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Mario Soilán"'
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 10, Pp 1115-1134 (2020)
The automatic definition of the ground from 3D point clouds has been a common process for the last two decades, with many different approaches and applications that can be found in a vast literature. This paper presents a comparison of three differen
Externí odkaz:
https://doaj.org/article/b81c8f0f895a4c9c8889be7c65e1f733
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1351 (2023)
Road maintenance is crucial for ensuring safety and government compliance, but manual measurement methods can be time-consuming and hazardous. This work proposes an automated approach for road inventory using a deep learning model and a 3D point clou
Externí odkaz:
https://doaj.org/article/995a2920079f42f583cb68897d98344d
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5866 (2022)
Road condition monitoring plays a critical role in transportation infrastructure maintenance and traffic safety assurance. This research introduces a methodology to detect cracks on pavement point clouds acquired with Mobile Laser Scanning systems, w
Externí odkaz:
https://doaj.org/article/290dc64360f84b9780bd177f850875d3
Publikováno v:
Infrastructures, Vol 7, Iss 10, p 133 (2022)
Road maintenance is a key aspect of road safety and resilience. Traffic signs are an important asset of the road network, providing information that enhances safety and driver awareness. This paper presents a method for the recognition and geolocatio
Externí odkaz:
https://doaj.org/article/3bd13b4e112e4602a240980c052c47ba
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2332 (2021)
The growing development of data digitalisation methods has increased their demand and applications in the transportation infrastructure field. Currently, mobile mapping systems (MMSs) are one of the most popular technologies for the acquisition of in
Externí odkaz:
https://doaj.org/article/e841cf73446c4244b960c7388733f295
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2301 (2020)
Building information modeling (BIM) is a process that has shown great potential in the building industry, but it has not reached the same level of maturity for transportation infrastructure. There is a standardization need for information exchange an
Externí odkaz:
https://doaj.org/article/3c2019123075484e99de4b99793aa2f1
Publikováno v:
Remote Sensing, Vol 11, Iss 21, p 2567 (2019)
Transport networks need periodic inspections to increase their safety and improve their management. In the last few years, LiDAR (light detection and ranging) technology has become a tool for helping to create a precise database of almost any type of
Externí odkaz:
https://doaj.org/article/a785d5ae3d2b4495a31bbaf5cc1c21be
Autor:
Mario Soilán, Ana Sánchez-Rodríguez, Pablo del Río-Barral, Carlos Perez-Collazo, Pedro Arias, Belén Riveiro
Publikováno v:
Infrastructures, Vol 4, Iss 4, p 58 (2019)
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents,
Externí odkaz:
https://doaj.org/article/fc4f81b5d53044cca7d1bf60f7339c87
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 11, p 439 (2018)
Nowadays, gathering accurate and meaningful information about the urban environment with the maximum efficiency in terms of cost and time has become more relevant for city administrations, as this information is essential if the sustainability or the
Externí odkaz:
https://doaj.org/article/635377ca548a4f36ada1f5d2055d1e9c
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 8, p 301 (2018)
A basic feature of modern and smart cities is their energetic sustainability, using clean and renewable energies and, therefore, reducing the carbon emissions, especially in large cities. Solar energy is one of the most important renewable energy sou
Externí odkaz:
https://doaj.org/article/c9be44830eee4452bc6224995308f6f7