Lecturer
- Dr. Rico Richter
- Sebastian Schulz
- Dr. Sören Discher
- Josafat-Mattias Burmeister
- Ole Wegen
General information
- Semester: SO 2026
- hrs/wk: 4
- ECTS: 6
- Registration Time: 01/04/2026 - 30/04/2026
- Course type: Seminar project (S/P)
Study programs, module groups & modules
- M.Sc. Data Engineering
- Data Applications (DAPP)
- Specialization (HPI-DAPP-S)
- techniques and tools (HPI-DAPP-T)
- Concepts and methods (HPI-DAPP-K)
- Systems Engineering (SYSE)
- Specialization (HPI-SYSE-S)
- Concepts and methods (HPI-SYSE-K)
- techniques and tools (HPI-SYSE-T)
- Data Applications (DAPP)
- M.Sc. Computer Science
- Specialised Studies
- III Track: Systems
- Specialization
- HPI-CS-IGS: HCI and Graphics - Specialization
- HPI-CS-ISS: Intelligent Systems - Specialization
- HPI-CS-DAS: Data Systems - Specialization
- Deep Dive
- HPI-CS-DAD: Data Systems - Deep Dive
- HPI-CS-ISD: Intelligent Systems - Deep Dive
- HPI-CS-IGD: HCI and Graphics - Deep Dive
- Specialization
- I Track: Data and AI
- Specialization
- HPI-CS-AIS: AI Applications - Specialization
- HPI-CS-MLS: Machine Learning - Specialization
- Deep Dive
- HPI-CS-AID: AI Applications - Deep Dive
- HPI-CS-MLD: Machine Learning - Deep Dive
- Specialization
- V Track: Security Engineering
- Deep Dive
- HPI-CS-DAD: Data Systems - Deep Dive
- Deep Dive
- III Track: Systems
- Specialised Studies
- M.Sc. IT-Systems Engineering
- Operating Systems and Information Systems Technology (OSIS)
- Specialization (HPI-OSIS-S)
- Technologies and Tools (HPI-OSIS-T)
- Human Computer Interaction and Computer Graphics Technology (HCGT)
- Specialization (HPI-HCGT-S)
- Concepts and Methods (HPI-HCGT-K)
- Technologies and Tools (HPI-HCGT-T)
- Operating Systems and Information Systems Technology (OSIS)
- M. Sc. Software Systems Engineering
- Machine Learning and Analytics (MALA)
- Technologies and Tools (HPI-MALA-T)
- Concepts and Methods (HPI-MALA-C)
- Specialization (HPI-MALA-S)
- Data-Driven Systems (DSYS)
- Technologies and Tools (HPI-DSYS-T)
- Concepts and Methods (HPI-DSYS-C)
- Specialization (HPI-DSYS-S)
- Machine Learning and Analytics (MALA)
More information
Description
Spatial data is generated through the three-dimensional capture of objects and the environment using various types of sensors. Established technologies include image, LiDAR, and radar sensors. The volume and complexity of this sensor data prevent its immediate interpretation and the derivation of information and models.
In this seminar, selected methods for analyzing and visualizing spatial data will be developed and implemented as software. The goal is to address specific research questions using self-developed data processing methods as well as appropriate visualization and interaction techniques.
Possible topics and application areas include, for example:
- Deep learning for 3D data (e.g., for the classification or segmentation of 3D point clouds)
- Analysis of infrastructure data (e.g., mobile mapping data from road environments)
- Visualization and real-time rendering of 3D data
- Spatial data structures for large datasets
- Web-based visualization and service-based infrastructures for the analysis and provision of spatial data
- 3D capture and modeling of building infrastructure
- Vegetation mapping based on 3D point clouds or image data
- Identification and visualization of changes in multi-temporal spatial data
The topics can also be worked on in groups of up to two students. You can also consult the teaching team in advance to suggest your own topic if they fit within the scope of the seminar.
Workload
4 Semesterwochenstunden
Prerequisites
Depending on the project, knowledge of object-oriented software development, web-based programming (JavaScript, Node.js), the basics of computer graphics and data visualization (OpenGL, GLSL, and WebGL) and/or a scripting language for data processing (e.g., R or Python) is an advantage.
Literature References
In addition to the information freely available on the Internet, there are several research articles on each topic, which are also provided when the topic is assigned. Further research of topic-specific literature is part of the assignment.
Note
The seminar organization is done via Moodle. The first seminar session takes place on 15 April 2026 at 1:30 pm.
Dates
- 15/04/2026 13:30 - 15:00
Room: G3-E.15/16 - 20/04/2026 11:00 - 12:30
Room: K-1.2 - 29/04/2026 13:30 - 15:00
Room: G3-E.15/16 - 06/05/2026 13:30 - 15:00
Room: G3-E.15/16 - 11/05/2026 11:00 - 12:30
Room: K-1.2 - 27/05/2026 13:30 - 15:00
Room: G3-E.15/16 - 01/06/2026 11:00 - 12:30
Room: K-1.2 - 08/06/2026 11:00 - 12:30
Room: K-1.2 - 10/06/2026 13:30 - 15:00
Room: G3-E.15/16 - 17/06/2026 13:30 - 15:00
Room: G3-E.15/16 - 24/06/2026 13:30 - 15:00
Room: G3-E.15/16 - 29/06/2026 11:00 - 12:30
Room: K-1.2 - 01/07/2026 13:30 - 15:00
Room: G3-E.15/16 - 13/07/2026 11:00 - 12:30
Room: K-1.2