Engineering Automotive Digital Twins on Standardized Architectures: Lessons from a Case StudyExemplar
This program is tentative and subject to change.
Digital twin technology has become of noticeable interest in the automotive industry. There is a growing need for smarter services that utilize the unique capabilities of digital twins, ranging from computer-aided remote control to cloud-based fleet coordination. The safety-critical nature of automotive systems imposes high quality requirements on software technology, including digital twins. Meeting such requirements starts with a proper software architecture that underpins automotive services. However, the relative scarcity of digital twin architectural guidelines poses a severe challenge for engineering automotive digital twins. At the time of writing this paper, the only available digital twin architectural standard is the one defined in ISO 23247, which itself has not been developed specifically for automotive systems and has demonstrated limitations when applied outside of its original manufacturing scope. Still, this reference architecture might be one of the few feasible starting points for automotive digital twins. In this work, we investigate the fitness for purpose of the ISO 23247 reference architecture in developing automotive digital twins. Through the case study of a 1/10th-scale autonomous vehicle, we identify the strengths and limitations of the reference architecture and distill key future directions for researchers, practitioners, and standard developers.
This program is tentative and subject to change.
Mon 6 OctDisplayed time zone: Eastern Time (US & Canada) change
15:30 - 16:30 | |||
15:30 15mPaper | Lab-Scale Gantry Crane Digital Twin ExemplarExemplar Technical Track | ||
15:45 20mPaper | Engineering Automotive Digital Twins on Standardized Architectures: Lessons from a Case StudyExemplar Technical Track Stefan Ramdhan McMaster University / McMaster Centre for Software Certification (McSCert), Winnie Trandinh McMaster University, Canada, Istvan David McMaster University / McMaster Centre for Software Certification (McSCert), Vera Pantelic McMaster University, Mark Lawford McMaster University Pre-print | ||
16:05 15mPaper | Engineering Fit-for-Implementation Digital Twins (FiDTs) Across the Total Product Lifecycle of Next-Generation Dental Restorative Materials: A Translational Intelligence Strategy for Real-World ImpactVision Technical Track Orlando Lopez National Institutes of Health , Jeff Buchsbaum National Institute of Health, Elena Sizikova Food and Drug Administration, Noffisat Oki National Institute of Health, Sepideh Mazrouee National Institutes of Health , Julia Berzhanskaya National Institute of Health, Siddharth Shenoy National Institute of Health | ||
16:20 10mDay closing | Day closing Technical Track |