학술논문

AMV ALPHA Learning Platform for Automotive Embedded Software Engineering
Document Type
Periodical
Source
IEEE Transactions on Learning Technologies IEEE Trans. Learning Technol. Learning Technologies, IEEE Transactions on. 14(3):292-298 Jun, 2021
Subject
Computing and Processing
General Topics for Engineers
Cameras
Automotive engineering
Streaming media
Real-time systems
Task analysis
Signal processing algorithms
Sensors
embedded systems
learning platform
software engineering
Language
ISSN
1939-1382
2372-0050
Abstract
Education of electronics engineers is one of the most dynamic types of education due to the new technologies that are rapidly being introduced into the field. Therefore, it is necessary to use modern teaching and laboratory methods that accompany the development of new technologies. When it comes to the automotive industry, a modern vehicle must be able to perceive the inside and outside environment. Various sensors are used for this purpose: cameras, lidars, radars, ultrasonic sensors, etc. To process this data in real time, a high-performance platform is needed. This article addresses the development and evaluation of a learning platform for teaching automotive embedded software engineering and introduction of such platform in M.Sc. study curriculum. Besides hardware and software, the platform includes instruction materials for students. The platform was recently implemented in one M.Sc. course and the results of the students’ response to lab feedback questionnaire are presented.