Publication Type:

Conference Paper

Source:

Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017, Institute of Electrical and Electronics Engineers Inc., p.385-389 (2017)

ISBN:

9781509052974

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027525785&doi=10.1109%2fICICCT.2017.7975225&partnerID=40&md5=b29617e6adfa4933808c05a38d9db37c

Keywords:

Accident prevention, Automated verification, Automation, Automotive industry, Diagnostic process, Electric lamps, Electronic control units, Human interactions, Javascript, Lighting, Network function virtualization, Passenger safety, Restraint systems, Reusability, Technological advancement

Abstract:

In the recent technological advancements, Automotive industry is more concentrating towards passenger safety. As a result modern Automobiles may have more than 50 electronic control unit on them. The verification of these ECUs is a necessary and crucial task. The manual testing involves human interaction for stipulating input and observing outcomes, hence it is not only time consuming but may involve human errors. In order to overcome the drawbacks of manual verification, an Automation framework is developed for the automated verification process. This Automation framework covers the features of maintainability, reusability and flexibility. The 'One click Automation' approach is developed where a person need not sit and monitor the diagnostic process. The Automation framework is developed for LAMPS and DC sensors (seatbelt buckle switch) modules. © 2017 IEEE.

Notes:

cited By ; Conference of 2017 International Conference on Inventive Communication and Computational Technologies, ICICCT 2017 ; Conference Date: 10 March 2017 Through 11 March 2017; Conference Code:129164

Cite this Research Publication

A. Yamini and Rajesh, M., “Automation framework for verification of LAMPS and DCS in airbag control unit (ACU)”, in Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017, 2017, pp. 385-389.

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