URGENT: Here a vacancy for a Marie Curie PhD position in transport, open to international student in Italy. I hope this can be of interest to some. Deadline is fast approaching!
The objective of the PhD research project consists in:
. Developing a low-cost tool being able to ensure the best resources use for road pavement maintenance and rehabilitation. In the past few years, there has been a drastic increase in the use of Image-Based Modelling (IBM) low-cost techniques to create a high metric and visual quality, reality-based 3D models
. The main innovative aspect lies in the use of a simple and low-cost hardware (camera or mobile phone) and software for the distresses identification and therapy
. The other goal is to develop a new metric to evaluate the real pavement condition that does not cover traditional parameters as IRI (International Roughness Index) and Skid Resistance. Rather this metric should directly consider the actual distresses on the pavement by analysing and measuring them with the help of Artificial Intelligence tools as Fuzzy Logic, Neural Network, etc.
Following task are forecasted:
. Review literature on road distresses, photogrammetric survey and use of Structure For Motion software
. Advanced knowledge of camera and drone system
. Data acquisition and analysis on road distresses through 3D modelling software
. Implementation of interactive 3D catalogue for ready-use from the municipality of Palermo (MUNPA)
Applications through http://smartietn.eu
Davide Lo Presti
Principal Research fellow
Coordinator of SMARTI ETN 2017 - 2021
Nottingham Transportation Engineering Centre
University of Nottingham
Room C11, Pavement Research Building
Nottingham, NG7 2RD
t: +44 (0) 115 84 68449 | m: +447587140422 | skype: davidelop
web: Personal page | ResearchGate | ORCID | LinkedIn | Twitter
projects: SMARTI ETN | SUP&R ITN | BioRePavation
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