PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks

Status:

active

Start date:

2020-09-01

End date:

2024-08-31

Modern vehicles in many segments of the vehicular domain need to communicate and collaborate to achieve a joint functionality in, e.g., an autonomous quarry, mine or a recycling site. To provide such functionality, these vehicles need to be equipped with high data-rate sensors (e.g., cameras and lidars). The large amount of data acquired from these sensors needs to be communicated within as well as among the vehicles with predictable low latencies. The traditional intra-vehicle communication (based on field buses) and inter-vehicle communication (based on WiFi and 4G) are becoming a bottleneck in meeting the high-bandwidth and low-latency communication requirements. The recently introduced IEEE Time-Sensitive Networking (TSN) standards and 5G communication offer promising solutions to address these requirements within and among the vehicles respectively. Alas, there is a lack of a holistic software development framework and execution environment for predictable vehicular systems that utilise blended TSN-5G communication. This lack hinders the vehicle industry from taking full advantage of these ground- breaking technologies. The aim of PROVIDENT is to develop novel techniques to provide a full- fledged holistic software development environment for vehicular systems that utilise blended TSN- 5G communication. The benefits for the vehicle industry include cost-efficient system development, better quality of developed functions to lower costs, and better use of expensive and scarce computing and communication resources. A major trait of the project consortium is that it offers a clear value chain initiating from academia (MDH); through a tools developer (Arcticus Systems); and finally to an end user of the technology (HIAB).

[Show all publications]

Dynamic Priority Scheduling for periodic systems using ROS 2 (Oct 2023)
Lukas Dust, Saad Mubeen
8th International Conference on Engineering of Computer-based Systems (ECBS2023)

Experimental Analysis of Wireless TSN Networks for Real-time Applications (Oct 2023)
Zenepe Satka, Deepa Barhia , Sobia Saud , Saad Mubeen, Mohammad Ashjaei
28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)

Pattern-Based Verification of ROS 2 Nodes using UPPAAL (Sep 2023)
Lukas Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen
FMICS 2023 - International Conference on Formal Methods for Industrial Critical Systems (FMICS 2023)

Comparative Evaluation of Various Generations of Controller Area Network Based on Timing Analysis (Sep 2023)
Aldin Berisa, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Adis Panjevic , Imran Kovac , Hans Lyngbäck , Saad Mubeen
28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)

Experimental Evaluation of Callback Behavior in ROS 2 Executors (Sep 2023)
Lukas Dust, Emil Persson, Mikael Ekström, Saad Mubeen, Cristina Seceleanu, Rong Gu
28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)

Towards Modelling 5G Communication in Software Architectures of Vehicular CPS (Sep 2023)
Zenepe Satka, Saad Mubeen, Mohammad Ashjaei, John Lundbäck
49th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA 2023)

PartnerType
Arcticus Systems AB Industrial
HIAB AB Industrial

Saad Mubeen, Professor

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