Unmanned Aerial Vehicles as Mapping Systems
| Title | Μη επανδρωμένα εναέρια οχήματα ως συστήματα χαρτογράφησης / Unmanned Aerial Vehicles as Mapping Systems |
| Code | UAV012 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Petros Patias |
| Common | No |
| Status | Active |
| Course ID | 600024625 |
Programme of Study: DPMS Enaéria Aytónoma Systīmata
Registered students: 6
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors | |
| Class ID | 600293508
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600293508
- eLearning:
- eLearning (Moodle):
Language of Instruction
- English (Instruction, Examination)
Learning Outcomes
Study of UAVs as mapping systems, including the technologies involved, the processing algorithms and the application areas
Familiarization with hardware and software aspects
Advance knowledge on data fusion with various sensors and processing methodologies
Enlarge the application areas while studying the involved specific technicalities and barriers
Introduce Emerging Trends and future challenges
General Competences
- Apply knowledge in practice
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
Course Content (Syllabus)
Introduction to Unmanned Mobile Mapping Systems, Unmanned Aerial Mapping Systems, Unmanned Ground Vehicles Systems, Unmanned Marine Surface Vehicle Systems, Enabling factors and technologies,
Navigation and Mapping sensors
Fundamentals of UAV data collection & processing (Mission planning, Precise pose estimation and mapping, Sensor positioning and orientation, Structure from motion, SLAM - Simultaneous Localization and Mapping, Dense image matching, 3D surface reconstruction)
UAV data acquisition & mapping (Comparison to other mapping methods, UAV methods, Sensing technologies (Multispectral, Hyperspectral sensors, Acoustic, Meteorological), Products and results, Accuracies)
Applications, case studies and best practices (Archaeology & Heritage documentation, Agriculture & Forestry, Disaster management & Emergency responseEmerging Trends, Technologies & future perspectives for geomatic applications (Advantages, Limitations, Gaps, Sensing technologies & Intelligent Sensing, LiDAR laser scanning, Photogrammetry, Hyperspectral imaging, Magnetic scanning, Multi-sensor solutions), Mapping & monitoring, Transportation, Environment – Energy)
Outlook - addressing the challenges (Societal challenges, Technological challenges, Regulatory challenges, Market evolution and trends, Economic impact)
Keywords
UAV, UAV data acquisition & mapping, photogrammetry
Educational Material Types
- Slide presentations
- Video lectures
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Digital material (presentations, video, etc.)
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 75 | 3 | ✓ | ||
| Written assigments | 50 | 2 | ✓ | ||
| Total | 125 | 5 |
Student Assessment
Description
The course grade will be computed by the final exam (50%) and the 2 assignments grade (25%+25%)
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative)
- Written Exam with Short Answer Questions (Formative)
- Written Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Armenakis, C., P. Patias (eds). 2019. Unmanned Vehicle Systems for Geomatics: Towards Robotic Mapping. 336p., Whittles Publishing Co., ISBN: 978-184995-127-2
Last Update
08-11-2024
