DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking

Status:

active

Start date:

2019-01-01

End date:

2022-12-31

Recent advancement in the functionality and new customer features in modern vehicles, especially autonomous vehicles, requires massive computational power and high-bandwidth on-board real-time communication. While there is a lot of research done to meet the challenge of computational requirements, relatively small efforts have been spent to deal with the challenge of supporting the high-bandwidth onboard communication requirements. In a recent effort to support high-bandwidth low-latency onboard real-time communication in modern vehicles, the IEEE Time-Sensitive Networking (TSN) task group has developed a set of standards targeting different classes of real-time traffic, support for time-triggered traffic at the same time as non-real-time traffic, support for resource reservation for different classes of traffic, support for clock synchronization, and providing several traffic shapers. However, a complete development support including modelling, timing analysis, configuration, deployment and execution for vehicular applications that use TSN is still missing from the state of the art. Since TSN is a complex technology with many options and configuration possibilities; taking full advantage of TSN in execution of complex vehicular functions is daunting task. This project aims at developing innovative techniques to provide a full-fledged development environment for vehicular applications that use TSN as the backbone for on-board communication. One unique characteristic of the project consortium is that it offers a clear value chain from academia (MDH), through the tool developer/vendor (Arcticus), and to the end user of the technology (Volvo), who will use the techniques and tools to develop prototype vehicles.

[Show all publications]

Recent Advances and Trends in On-board Embedded and Networked Automotive Systems (Feb 2019)
Lucia Lo Bello , Sergio Saponara , Saad Mubeen, Riccardo Mariani
IEEE Transactions on Industrial Informatics (IEEE-TII)

Guest Editorial: Embedded and Networked Systems for Intelligent Vehicles and Robots (Feb 2019)
Lucia Lo Bello , Saad Mubeen, Sergio Saponara , Riccardo Mariani , Unmesh Dutta Bordoloi
IEEE Transactions on Industrial Informatics (IEEE-TII)

Developing Predictable Embedded Systems in the Vehicle Industry: Results and Lessons Learned (Feb 2019)
Saad Mubeen

A Perspective on Ensuring Predictability in Time-critical and Secure Cooperative Cyber Physical Systems (Feb 2019)
Saad Mubeen, Elena Lisova, Aneta Vulgarakis Feljan
20th IEEE International Conference on Industrial Technology (ICIT 2019)

An energy-efficient partition-based XYZ-planar routing algorithm for a wireless network-on-chip (Dec 2018)
Fahimeh Yazdanpanah , Raheel Afsharmazayejani , Amin Rezaei , Masoud Daneshtalab
The Journal of Supercomputing (Supercomputing)

PartnerType
Arcticus Systems AB Industrial
Volvo Construction Equipment AB Industrial

Saad Mubeen, Associate Professor,Docent

Email: saad.mubeen@mdh.se
Room: U1-142
Phone: +4621103191