Subject Datasheet
Download PDFI. Subject Specification
1. Basic Data
1.1 Title
Laser scanning
1.2 Code
BMEEOFTDT81
1.3 Type
Module with associated contact hours
1.4 Contact hours
| Type | Hours/week / (days) |
| Consultation | 2 |
1.5 Evaluation
Exam
1.6 Credits
3
1.7 Coordinator
| name | Dr. Lovas Tamás |
| academic rank | Associate professor |
| lovas.tamas@emk.bme.hu |
1.8 Department
Department of Photogrammetry and Geoinformatics
1.9 Website
1.10 Language of instruction
hungarian and english
1.11 Curriculum requirements
Ph.D.
1.12 Prerequisites
1.13 Effective date
1 September 2022
2. Objectives and learning outcomes
2.1 Objectives
Students accomplishing the course will have an overview of the R&D activities and trends in the field of laser scanning. They learn the latest technological developments in airborne, mobile, and terrestrial laser scanning. Besides data acquisition techniques and solutions, students study point cloud processing techniques. They have the opportunity to deepen their knowledge in a selected area of laser scanning, survey the relevant literature, and try the methods. This way the course supports PhD students to review state-of-the-art technologies and solutions and select results that can be used in their own research work.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
- Has an overview of the latest development in the field of airborne, mobile, and terrestrial laser scanning.
- Knows the advantages and shortcomings of the particular laser scanning data acquisition methods.
- Has an overview of the cutting edge point cloud processing techniques and solutions.
- Knows the main engineering application fields laser scanning can support.
B. Skills
- Evaluates the performance of the particular laser scanning technology.
- Selects appropriate data acquisition technology considering the application requirements.
- Selects the effective data processing method for particular tasks.
- Is able to assess the potential of data processing techniques.
C. Attitudes
- Cooperates with the teacher and fellow students in expanding the knowledge,
- Expands his knowledge with the continuous acquisition of knowledge,
- Open to the use of information technology tools,
D. Autonomy and Responsibility
- Is able to perform own literature survey.
- Makes responsible decisions based on consultation.
2.3 Methods
Some introductory lectures on the state-of-the-art of laser scanning, own research in a selected area, continuous consultation, home assignment.
2.4 Course outline
| Hét | Előadások és gyakorlatok témaköre |
| 1. | Laser scanning state-of-the-art |
| 2. | Airborne laser scanning |
| 3. | Mobile laser scanning |
| 4. | Terrestrial laser scanning |
| 5. | Point cloud processing - registration |
| 6. | Point cloud processing - modeling |
| 7. | Point cloud processing - segmentation |
| 8. | Point cloud processing - classification |
| 9. | consultation |
| 10. | consultation |
| 11. | consultation |
| 12. | consultation |
| 13. | consultation |
| 14. | Students' presentation |
The above programme is tentative and subject to changes due to calendar variations and other reasons specific to the actual semester. Consult the effective detailed course schedule of the course on the subject website.
2.5 Study materials
Vosselman-Haas: Airborne and Terrestrial Laser Scanning
Shan-Toth: Topographic Laser Ranging
Shan-Toth: Topographic Laser Ranging
2.6 Other information
2.7 Consultation
Weekly opportunities discussed by supervisor.
This Subject Datasheet is valid for:
Inactive courses
II. Subject requirements
Assessment and evaluation of the learning outcomes
3.1 General rules
Learning outcomes formulated in point 2.2 are assessed on homework assignment and exam.
3.2 Assessment methods
| Teljesítményértékelés neve (típus) | Jele | Értékelt tanulási eredmények |
| Home assignment | HW | A.1-A.4; B.1-B.4; C.1-C.3; D.1-D.2 |
| Exam | E | A.1-A.4; B.1-B.4 |
The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
| Jele | Részarány |
| HW | 50% |
| E | 50% |
| Összesen | 100% |
3.4 Requirements and validity of signature
Successfully submitted and presented home assignment.
3.5 Grading system
The final grade is calculated by the average of the HW an E.
3.6 Retake and repeat
Late submission of the home assigment is allowed on the make-up week.
3.7 Estimated workload
| Tevékenység | Óra/félév |
| classes | 28 |
| preparing HW | 40 |
| preparing for the E | 22 |
| Összesen | 90 |
3.8 Effective date
1 September 2022
This Subject Datasheet is valid for:
Inactive courses