3D reality capture technologies and open data in AEC (3 cr)

Objectives (course unit)

This course will provide the student with basic understanding how to utilise modern 3D reality capture technologies and publicly available open geospatial data in Architecture, Engineering and Construction (AEC) related projects. The student will get an overview of point clouds, 3D laser scanning, photogrammetry and drones, scan-to-model processes and the related software tools.

Content (course unit)

The following topics will be covered during the course:
- Coordinate and height systems, traditional surveying methods and equipment,
- Terrestrial laser scanning, workflows and equipment, georeferencing
- Point cloud software and point cloud post-processsing
- 3D data file formats and interoperability
- Scan-to-model workflows and importing point clouds to modeling/engineering software
- Basic principles of photogrammetry
- Camera drones and photogrammetry
- Photogrammetry software
- Open geospatial data, sources and software for processing it

Prerequisites (course unit)

Basic knowledge of surveying, GIS or CAD/BIM software is recommended, but not mandatory.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to identify and define the basics of the course and solve simple questions
applications that are similar to the tasks being handled.

Assessment criteria, good (3-4) (course unit)

In addition to the above, the student is able to choose the most suitable one by applying and comparing different options
policy and justify their choices.

Assessment criteria, excellent (5) (course unit)

In addition to the above, the student has a comprehensive understanding of the course topics and their use
problem solving; and the ability to present, analyze, and justify logically handled issues and methods of solution.

Exam schedules

Five sub-tests during the course. The schedule of the tests will be informed in the beginning of the course.

Assessment methods and criteria

Activity and participation in lectures. Obligatory 80 % presence activity.
Assignments shall be submitted by deadline. Exceptions accepted only if agreed in advance with teachers.
Minimum four sub-tests (total five sub-tests) shall be attended.
Credit value 0 - 5 according to level of competence.
Final grade will be formed as follows:
Exam/sub-tests: 100 %, evaluation 0-5
Assignments: Evaluation: Approved/Rejected. By submitting all assignments and getting them approved has impact of max. 0,5 to the final grade.

Assessment scale

0-5

Teaching methods

The teaching include lectures and exercises/assignments. Exercises/assignments are done both in groups and individually. The exam will be split to five smaller sub-tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Learning materials

The study material will be available during the course on the Tabula platform.
Additional recommended literature will be specified during the course.

Student workload

Lectures, exercises and tests 40 hours.
Self-learning (incl. assignments and preparation for tests, etc.) 41 hours.

Content scheduling

Lectures and outdoor exercises are mainly during the first period, because of the weather conditions.
During the second period the emphasis is on software and indoor exercises.

Completion alternatives

None.

Further information

The teaching include lectures and exercises. Exercises are done both in groups and individually. The exam will be split to five smaller tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

Participation in the lectures below 80%.
The student does not reach the level of satisfactory or does not do the exam/sub-tests neither the assignments.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

The student can:
- explain the basics of coordinate and height systems
- explain the principles of total station and GNSS based surveying methods
- use terrestrial laser scanner and targets for capturing 3D point cloud
- use a photogrammetric software to create a simple photogrammetric model based on photographs
- plan a photogrammetric drone mission
- download NLS aerial laser scanning data and analyse it with point cloud software

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

In addition to the aforementioned skills the student can:
- select and use appropriate surveying methods for georeferencing 3D point clouds
- select the correct coordinate and height system for georeferencing
- select suitable 3D reality capture tools for different projects
- register 3D point cloud and analyse it
- select appropriate 3D data file format and import the data to engineering/modeling software
- use point cloud data in selected engineering/modeling software
- create a DEM based on NLS open data

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

The student can apply all aforementioned skills & tools
- to merge 3D data from different sources and in different formats & coordinate systems
- to produce accurate 3D reality capture data for design and visualization purposes