Sensor systems for autonomous vehicles-UAVs
| Title | Συστήματα Αισθητήρων για αυτόνομα εναέρια οχήματα / Sensor systems for autonomous vehicles-UAVs |
| Code | UAV01 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Alkiviadis Chatzopoulos |
| Common | No |
| Status | Active |
| Course ID | 600024546 |
Programme of Study: DPMS Enaéria Aytónoma Systīmata
Registered students: 9
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors | |
| Class ID | 600290463
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600290463
Language of Instruction
- English (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will:
1. Understand the basic concepts of the field of sensors
2. Understand the basic concepts of measurement and control systems of physical parameters for autonomous ground, flying and floating vehicles
3. Know the basic methods of displaying and recording measurement data.
4. Understand the techniques of adjusting the signals provided by the sensors.
5. Understand the basic principles of operation of various integrated sensors for measuring common physical parameters, such as the accelerometer, magnetometer, gyroscope, thermometer, as well as systems such as LIDAR, SONAR, RADAR and GNSS.
6. Gain experience in the implementation of real-time systems (more specifically, theory, design and implementation of hardware in discrete and integrated circuits, software development, interconnection with the network through various protocols and applications of their use).
7. Know energy harvesting techniques for powering autonomous vehicles.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work in teams
- Work in an interdisciplinary team
- Advance free, creative and causative thinking
Course Content (Syllabus)
The purpose of the course is to introduce the students to the basic concepts of the field of sensors as well as the measurement and control systems of physical parameters for autonomous ground, flying and floating vehicles. Upon completion of the course, students are expected to know basic methods of displaying and recording measurement data as well as techniques for adjusting the signals provided by the sensors for their correct use and their interconnection with display and recording devices. They will also be able to understand the basic principles of operation of various integrated sensors for measuring common physical parameters, such as the accelerometer, magnetometer, gyroscope, thermometer, as well as systems such as LIDAR, SONAR, RADAR and GNSS (GPS , Galileo, etc.) as well as design and implementation issues of real-time systems (more specifically, theory, design and implementation of hardware in discrete and integrated circuits, software development, interconnection with the network through various protocols and applications of their use). Then the efficient and energy-optimal design and implementation of both the computing part and the sensor communication system will be considered. Energy harvesting techniques for powering autonomous vehicles will also be presented.
Educational Material Types
- Slide presentations
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 46 | 1.8 | ✓ | ||
| Project | 53 | 2.1 | ✓ | ||
| Written assigments | 26 | 1.0 | ✓ | ||
| Total | 125 | 5 |
Student Assessment
Student Assessment methods
- Oral Exams (Summative)
- Performance / Staging (Summative)
- Report (Summative)
Bibliography
Additional bibliography for study
Kimon P. Valavanis, George J. Vachtsevanos, "Handbook of Unmanned Aerial Vehicles", Springer Reference 2015, ISBN 978-90-481-9706-4, DOI 10.1007/978-90-481-9707-1.
Felipe Gonzalez Toro, Antonios Tsourdos, "UAV Sensors for Environmental Monitoring", Special Issue published online in the open access journal Sensors (MDPI), 2018, ISBN 978-3-03842-754-4.
Jeff Cicolani, "Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV", Apress, 2nd ed. edition (March 4, 2021), ISBN-13: 978-1484268902.
Last Update
08-11-2024
