Quantitative imaging for engineers

CIVIL-510 / 3 crédits

Enseignant: Andò Edward Carlo Giorgio

Langue: Anglais

Summary

First 2 courses are Tuesday 16-19h!This course will arm students with knowledge of different imaging techniques for practical measurements in many different fields of civil engineering. Modalities will range from satellite and drone imaging all the way down to x-ray microscopy with practical session

Content

This course will be given by Edward Andò from the Center for Imaging over 14 weeks.

 

The material covered will be roughly as follows:

 

  • Introductory lecture: Images and measurements
  • Image acquisition basics: sensors and optics
  • Image quality basics: noise, blur, contrast
  • Practical session 1: Microscope characterisation
  • Object detection and characterisation
  • Depth measurement: structured light, time of flight
  • Practical Session 2: Building a 21st centry sandbox, projecting height map onto sand
  • Practical Session 3: Drone flight to scan building on EPFL campus
  • (x-ray) Tomography: acquiring and analysing 3D volume images
  • Practical session 3: 3D evaluation of a concrete specimen on PIXE
  • Advanced image analysis: tracking movement with image correlation
  • Crack detection and characterisation

This will finish with a written, short-answer, exam

Keywords

quantitative imaging, satellite imaging, drone imaging, thermal imaging, photography, microscopy, x-ray tomography

Learning Prerequisites

Required courses

Physique générale : mécanique (PHYS-101)  --  or equivalent
Analyse I (MATH-111)  --  or equivalent
Géométrie (MATH-123(b))  --  or equivalent
Algèbre linéaire (MATH-111)  --  or equivalent

 


Recommended courses

Mécanique des milieux continus (pour GC) (CIVIL-225)

 

Eléments de géomatique (ENV-140)

Important concepts to start the course

Matrix manipulation
Gaussian/Normal distributions
3D geometry

Learning Outcomes

By the end of the course, the student must be able to:

  • Analyze An image-based measurement system
  • Interpret Quantitative image-based measurements
  • Propose Suitable image-based measurement tool for different practical problems
  • Quantify Measurement errors and their source

Transversal skills

  • Use both general and domain specific IT resources and tools
  • Access and evaluate appropriate sources of information.
  • Collect data.

Teaching methods

The course is built around a number of lectures that will indroduce concepts related to quantitative imaging, which is the concept of using images (photography, microscopy, x-ray imaging, hyperspectral imaging) in order to make a precise measurement (of dimensions, strain, structure).

 

There will be practical exercise classes, using examples from civil engineering, to cement the knowledge gained during the course.

Expected student activities

Attendance at lectures/excercise sessions
Attendance and active participation in practical sessions

Assessment methods

The final mark will be a combination of the in-class excersies and a small single final exam in week 14, which will be written and closed-book.

 

This exam will have no numerical questions, and instead be composed of numerous questions with short answers, which someone understanding the main points of the course should have no problem in passing

Resources

Moodle Link

Dans les plans d'études

  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Quantitative imaging for engineers
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel
  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Quantitative imaging for engineers
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel
  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Quantitative imaging for engineers
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel

Semaine de référence

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