120.032 Point Cloud Processing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to capture objects using laser scanning or image matching. Additionally, students are able to orientate and further process the capture point could by different processing methods.

Subject of course

  • Measurement of point clouds with laser scanning and image matching
  • Attribute from the measurement process
  • Visualization of point clouds
  • Explorative analysis of point clouds
  • Orientation with ICP
  • Data structures for large point clouds
  • Programming of simple point cloud tasks
  • Classification of a point cloud

The examples will be processed with OPALS during the course and further analysed by the students in small groups.

Teaching methods

Introduction and enhanced processing with the software package OPALS, several examples will be computed during the course, self-depend execution of two exercises in small groups (exercise 1: point cloud acquisition; exercise 2: processing and analysis)

Mode of examination

Immanent

Additional information

The course is a mixture of hybrid events and optional consultation hours. If possible, all lectures will be held in presence, but are also broadcasted via Zoom. The first hybrid lecture (see course dates below) is compulsory for all students. Live events and consultation hours take place at the normal course dates (Tuesday 11:00). Live recorded lectures will be made available on TUWEL after the lecture. For each lecture a obligatory multiple choice self assessment has to be conducted (the results, however, are not considered for grading)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue11:00 - 13:0004.10.2022 - 24.01.2023EDV-Raum. DA grün 02 D Point Cloud Processing
Point Cloud Processing - Single appointments
DayDateTimeLocationDescription
Tue04.10.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue11.10.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue18.10.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue25.10.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue08.11.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue22.11.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue29.11.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue06.12.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue13.12.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue20.12.202211:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue10.01.202311:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue17.01.202311:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing
Tue24.01.202311:00 - 13:00EDV-Raum. DA grün 02 D Point Cloud Processing

Examination modalities

  • Praticipation a the first lecture (Zoom-Meeting)
  • No exam, but obligate self assessment for each lecture (not included for grading)
  • Positive execution and presentation of a single person and a group exercises

 

Course registration

Begin End Deregistration end
15.09.2022 11:11 09.10.2022 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 421 Geodesy and Geoinformation Mandatory elective1. Semester

Literature

No lecture notes are available.

Previous knowledge

Fundamentals of photogrammetry or equivalent (computer vision)

QGIS or a comparable tool

Miscellaneous

Language

English