Artificial Intelligence Techniques For Identification, Classification And Efficiency Evaluation[...] Lazio

Artificial Intelligence Techniques For Identification, Classification And Efficiency Evaluation[...]
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UNIVERSITA' DEGLI STUDI DI MESSINA - DIPARTIMENTO DI INGEGNERIA Organisation/Company: UNIVERSITA' DEGLI STUDI DI MESSINA - DIPARTIMENTO DI INGEGNERIA Research Field: Engineering » Civil engineering Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3) Country: Italy Application Deadline: 19 Jan 2025 - 12:00 (UTC) Type of Contract: To be defined Job Status: Not Applicable Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No Offer Description Users' safety depends on the efficiency of the infrastructure and its components (pavement, barriers, etc. )

to avoid potential risks while driving.

To plan appropriate maintenance activities, it is necessary to rely on accurate knowledge of the condition of each component through continuous monitoring.

This research program aims to define innovative methodologies for the analysis of high-density point clouds and digital images acquired by mobile laser scanner systems during driving on the road.

The approaches will utilize artificial intelligence and machine learning techniques to analyze the condition of road infrastructure components.

Eligibility of fellows: Country/ies of residence: EUROPE Nationality/ies: Not specified Number of offers available: 1 Company/Institute: UNIVERSITA' DEGLI STUDI DI MESSINA - DIPARTIMENTO DI INGEGNERIA Country: Italy #J-18808-Ljbffr