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#61437 / #1

Seit WiSe 2020/21

English

Semantic 3D/4D City Models

6

Kada, Martin

benotet

Mündliche Prüfung

Zugehörigkeit


Fakultät VI

Institut für Geodäsie und Geoinformationstechnik

36331100 FG Methodik der Geoinformationstechnik

Geodesy and Geoinformation Science

Kontakt


H 12

No information

martin.kada@tu-berlin.de

No information

Learning Outcomes

Students understand the concepts of automatic generation and reconstruction of 3D/4D city models. This includes the handling and organizing of different data sources in suitable data structures and the automatic extraction of geometric, topological, and semantic information from 3D point clouds. Students are familiar with methods to automatically detect, extract, and reconstruct building outlines, floor plans, indoor models, and 3D/4D building models. Furthermore, they are capable of generating different levels of detail for various applications and they are able to provide models in standardized data exchange formats.

Content

Applications of 3D/4D city models, 3D cadaster, data acquisition, data and index structures for 3D/4D data, 3D point cloud processing and interpretation, semantic classification of urban data, building detection and extraction, building outline generation, segmentation, modeling of 3D/4D objects, 3D building reconstruction concepts, model fitting algorithms, procedural modeling, mesh processing and simplification, model to image matching, evaluation metrics, standardization and data exchange formats for 3D city models, cartographic generalization methods for 3D urban environments, floor plan generation and 3D indoor modeling, semantic modeling with CityGML.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Semantic 3D/4D City ModelsIV3633 L 9079SoSeNo information4

Workload and Credit Points

Semantic 3D/4D City Models (IV):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.04.0h60.0h
Vor-/Nachbereitung15.08.0h120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lectures (50%) and exercises (50%).

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Successful completion of modules Geoinformatics and Advanced Methods for Geospatial Analysis.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

English

Duration/Extent

30 Minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

No information.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Geodesy and Geoinformation Science (M. Sc.)128WiSe 2020/21SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information