| Autor: |
Barrile, Vincenzo, Fotia, Antonino, Bernardo, Ernesto, Bilotta, Giuliana |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Computational Science and Its Applications – ICCSA 2020 |
| Popis: |
The proposed research activity is based on the study and development of advanced monitoring techniques for the inspection and mapping of road infrastructures. Data detection (initial and periodic) is one of the most important phases of the process to be followed for the knowledge of the current state of road infrastructure and this is fundamental for the design and intervention choices. This operation can be done both through traditional (such as GNSS receivers, total motorized station and 3D laser scanner) and innovative tools (such as remote sensing, mobile mapping systems vehicles or road drones and APAs). Recently, technological development has offered the possibility to use tools that allow continuous detection of the object to be investigated, and there is the possibility to have multiple sensors at the same time that allow to make high-performance surveys. The aim of the research will be the design and implementation of an innovative measurement and component sensor system to be equipped on technological systems for data acquisition. The research also consists on the implementation of dedicated algorithms for the management of the amount of georeferenced data obtained and their representation on GIS (Geographic Information System) platforms as “open and updatable” thematic cartography. In this context, the establishment and update of the Road Cadastre is also included, intended (in our application) as a computer tool for storing, querying, managing and visualizating of all the data that the owner/manager acquired on its road network. In it will be possible to represent the elements inherent geometric characteristics elements of the roads and their relevance, as well as the permanent installations and services related to the needs of the circulation; in this way we can obtain a continuos updated database that allow rapid selective searches for topics. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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