Istituto di Scienza e Tecnologie dell'Informazione     
Falcini F., Lami G. Challenges in certification of autonomous driving systems. In: ISSREW 2017 - IEEE International Symposium on Software Reliability Engineering Workshops (Toulouse, France, 23-26 October 2017). Proceedings, pp. 286 - 293. IEEE, 2017.
Autonomous Driving is the next frontier of the automotive industry. Advanced driver assistance systems (ADAS) are going to be pervasively used in modern automobiles. New ADAS are principally based on Artificial Intelligence (AI) technology, and in particular on deep learning. While the automotive community is aware of the important changes such a technology demands in terms of technical skills, development paradigms, and cultural approach, there is still a important lack to be filled in the availability of technical standards and, consequently, in terms of certification capability. The existing standards, in fact, are more or less explicitly referring to a traditional way of developing software and systems, so they not suitable at all to be applied to ADAS. In this paper the open issues in certification of AI technologies in automotive are addressed by providing an overview of the existing standards and the related applicability issues.
URL: http://https://www.computer.org/csdl/proceedings/issrew/2017/2387/00/2387a286.pdf
DOI: 10.1109/ISSREW.2017.45
Subject Deep Learning
Automotive Software
Software Certification
Software development process management
I. Computing methodologies

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