Academic Year 2021/2022
- Docente: Stefano Cattini
- Credits: 6
- SSD: ING-INF/07
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Advanced Automotive Electronic Engineering (cod. 9238)
Learning outcomes
Aim of the course is to give a basic preparation, design skills, and understanding the specifications of sensors and measuring systems for automotive applications.
Course contents
-
Review on measurement methods and measuring systems
-
Review on measurement uncertainty and its applications
-
Review of heat transmission and measurement
-
Main resistive, inductive, and capacitive sensors
-
Photodetectors
-
Encoders
-
Main circuits and techniques for sensor conditioning
-
Overview of the main uses of the sensors described above in the automotive field
-
Ultrasonic measuring systems
-
Stereo camera
-
LiDAR
Readings/Bibliography
-
Jacob Fraden, "Handbook of Modern Sensors," Fifth Edition, Springher 2016
-
Ramon Pallaá S-Areny and John G. Webster, "Sensors And Signal Conditioning," Second Edition , Wiley 2002
-
Reif Konrad, Automotive Mechatronics, Springer, 2015, DOI 10.1007/978-3-658-03975-2
-
Hermann Winner, Stephan Hakuli, Felix Lotz and, Christina Singer, "Handbook of Driver Assistance Systems," Springer, DOI: 10.1007/978-3-319-12352-3, 2016
Teaching methods
-
Lectures
-
Exercises to be carried out in the classroom
Assessment methods
Methods: written test and optional oral test reserved for students who have achieved a score of not less than 26/30 in the written test. The written test consists of exercises and theory questions and allows the student to achieve the maximum score (30L / 30). Examples of exams are made available on the Dolly page of the course by the end of the course.
Timing: at the end of the course (there are NO intermediate tests)Duration of the written test: about 100 minutes
How to return the test results: the results are published on almaesami generally within 5 days from the date of the exam
Materials allowed during the exam tests: none
Teaching tools
https://virtuale.unibo.it/course/view.php?id=42615
Links to further information
https://moodle.unimore.it/course/view.php?id=6776
Office hours
See the website of Stefano Cattini