AMV ALPHA Learning Platform for Automotive Embedded Software Engineering

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Bibliographic Details
Title: AMV ALPHA Learning Platform for Automotive Embedded Software Engineering
Language: English
Authors: Lukac, Zeljko (ORCID 0000-0002-5228-1815), Kastelan, Ivan, Vranjes, Mario (ORCID 0000-0003-3563-4735), Todorovic, Branislav M. (ORCID 0000-0003-1932-8332)
Source: IEEE Transactions on Learning Technologies. Jun 2021 14(3):292-298.
Availability: Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Peer Reviewed: Y
Page Count: 7
Publication Date: 2021
Document Type: Journal Articles
Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Engineering Education, Motor Vehicles, Masters Programs, Computer Software, Electronic Learning, Graduate Students, Student Attitudes
DOI: 10.1109/TLT.2021.3098505
ISSN: 1939-1382
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.
Abstractor: As Provided
Entry Date: 2021
Accession Number: EJ1307935
Database: ERIC
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