Automotive Sensors and Networks

Garant předmětu:

Jiří Novák

Lecturer:

Jiří Novák, Antonín Platil

Tutor:

Michal Dressler, Michal Janošek, Pavel Mlejnek, David Novotný, Antonín Platil, Jan Sobotka

Supervisor:

Department of Measurement

Synopsis:

The course provides students with a deeper insight into the functional principles of advanced sensor systems in cars, methods of signal processing in sensors and explains how to use them in vehicle subsystems. It also deals with distributed vehicle systems for real-time control and methods of their testing. Theoretical lectures are complemented by practical laboratory teaching with real elements (ECUs, sensors) of modern vehicles.

Requirements:

Syllabus of lectures:

1. Vehicle distributed control systems, requirements, structure, functions.

2. Sensors of autonomous vehicles - overview, radar

3. Sensors of autonomous vehicles - lidar, ultrasonic sensors, cameras

4. Special sensors (rain sensor…)

5. Vehicle Networks (CAN FD)

6. Vehicle networks (LIN, FlexRay)

7. Communication planning and scheduling

8. Automotive Ethernet, Audio Video bridging

9. Time Sensitive Networks, AUTOSAR

10. Design and testing of vehicle electronic systems

11. Model-driven design, Model-based testing.

12. HIL, SIL, methods of test prioritization

13. Vehicle communication with the outside environment (V2X)

14. Security aspects of communication technologies

Syllabus of tutorials:

Laboratory exercises are focused on the practical application of theoretical knowledge. They will require homework in the form of self-study and subsequent elaboration of a protocol evaluating the measured or otherwise obtained results, their agreement with theoretical assumptions and justifying any differences.

During the laboratory exercises, students will use microprocessor kits with integrated sensors and vehicle communication interfaces, automotive ECUs and sensors, and practical experience with real HIL systems used for car integration testing will be available.

Study Objective:

The aim of the course is to acquaint students with the functional principles and methods of using advanced sensor systems in cars and to teach them the practical implementation of related algorithms for signal processing from sensors. Next goal is to explain in detail the functional principles of vehicle distributed systems for real-time control and methods of their design (planning, scheduling). The last goal is to provide an overview of methods for testing vehicle distributed systems, especially at the integration testing level.

Study materials:

[1] Ripka, P., Tipek, A.: Modern Sensors Handbook, ISTE 2007, ISBN 978-1-905209-66-8

[2] Navet, N., Simonot-Lion, F.: Automotive Embedded Systems Handbook, CRC Press 2017, ISBN 0849380278

Note:

Further information:

https://moodle.fel.cvut.cz/courses/B3M38ASE

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue	roomT2:A3-325 Novotný D. Sobotka J. 12:45–14:15 (lecture parallel1) Dejvice Laboratoř DSroomT2:A3-325 Mlejnek P. Sobotka J. 14:30–16:00 (lecture parallel1) Dejvice Laboratoř DS roomT2:B3-61 Novotný D. Sobotka J. 12:45–14:15 (lecture parallel1) Dejvice Laboratoř SZroomT2:B3-61 Mlejnek P. Sobotka J. 14:30–16:00 (lecture parallel1) Dejvice Laboratoř SZ
Wed	roomT2:A3-325 Platil A. Sobotka J. 11:00–12:30 (lecture parallel1) Dejvice Laboratoř DSroomT2:B3-61 Platil A. Sobotka J. 12:45–14:15 (lecture parallel1) Dejvice Laboratoř SZ roomT2:B3-61 Platil A. Sobotka J. 11:00–12:30 (lecture parallel1) Dejvice Laboratoř SZroomT2:A3-325 Platil A. Sobotka J. 12:45–14:15 (lecture parallel1) Dejvice Laboratoř DS
Thu
Fri

The course is a part of the following study plans:

• Cybernetics and Robotics (compulsory elective course)