Road geometry identification with mobile mapping techniques

Durante il mio dottorato mi sono occupato di Tecniche e Tecnologie innovative per la ricostruzione della geometria dei tracciati stradali esistenti, quali ad esempio Mobile Mapping, analisi immagini e dati GIS; a fronte degli elevatissimi costi oggi richiesti per l’utilizzo di veicoli strumentati già reperibili in commercio per il raggiungimento di tali scopi, il valore aggiunto del lavoro di dottorato riguarda l’uso di strumenti a basso costo che comportano un rilevante lavoro di analisi, trattamento e correzione del dato che risente in maniera decisiva della medio/bassa qualità della strumentazione in uso. L’obiettivo della ricerca è consistito nella realizzazione di un algoritmo di riconoscimento (in ambiente MATLAB) che sia in grado di restituire la geometria as-built di una strada esistente. Parte del lavoro è stata svolta nell’analisi e nell’estrazione delle curvature locali con approcci differenti (successive circonferenze locali, funzioni polinomiali di fitting locale di vario grado e con ampiezza di analisi variabile), nonché sullo studio degli angoli di deviazione locali. Usando questi parametri, nel resto del lavoro, si è prima ricercata una metodologia d’identificazione dei diversi elementi che compongono la geometria stradale, e poi si è lavorato su procedure di fitting con svariate tecniche (minimi quadrati, metodi robusti e altri algoritmi) cercando di estrarre informazioni di carattere geometrico, quali raggi di curvatura e relativi centri, lunghezza e orientamento dei rettifili, fattori di scala delle curve di transizione

Aeronautical engineering: A continuing bibliography with indexes, supplement 100

This bibliography lists 295 reports, articles, and other documents introduced into the NASA Scientific and Technical Information System in August 1978

Applications

Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications

Groundborne vibrations caused by railway construction and operation in buildings : design, implementation and analysis of measurement for assessment of human exposure

Environmental issues surrounding railway operation and construction have become more prominent in recent years, increasing the need for administrators and researchers to understand how residents living around railways respond to the noise and vibration generated by them.Within this context, the University of Salford, within the project funded by Defra “Human response to vibration in residential environments” (NANR209), has derived exposure response relationships for railway traffic and construction for a population sample of 1281 people: 931 for railway traffic and 350 for railway construction. Vibration measurements within residences have been used for assessing human exposure to vibration alongside a social study questionnaire based on face-to-face interviews for quantifying the human response. The first part of this work is concerned with the exposure side of NANR209. The design and implementation of measurement methodologies are presented and discussed, which provide exposure data suitable for building an exposure response relationship for vibration caused by the sources mentioned above. In light of the large amount of vibration data gathered during the project, the analysis of vibration signals is considered in the second part of the dissertation. Two aspects connected with the assessment of the human exposure to vibration are investigated: wave field assessment and ground to building transmissibility analysis

Applications

Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications