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).
First Name | Last Name | Title |
---|---|---|
Masoud | Daneshtalab | Professor |
Mikael | Sjödin | Professor,Research Leader |
Hossein | Fotouhi | Senior Lecturer |
Sima | Sinaei | Post Doc |
Zenepe | Satka | Doctoral student |
John | Lundbäck | |
Kurt-Lennart | Lundbäck | |
Mattias | Gålnander | |
Mohammad | Ashjaei | Associate Professor,Docent |
Saad | Mubeen | Associate Professor,Docent |
HERMES: Heuristic Multi-queue Scheduler for TSN Time-Triggered Traffic with Zero Reception Jitter Capabilities (Jun 2022) Daniel Bujosa Mateu, Mohammad Ashjaei, Alessandro Papadopoulos, Thomas Nolte, Julián Proenza The 30th International Conference on Real-Time Networks and Systems (RTNS'22)
AVB-aware Routing and Scheduling for Critical Traffic in Time-sensitive Networks with Preemption (Jun 2022) Aldin Berisa, Luxi Zhao , Silviu Craciunas , Mohammad Ashjaei, Saad Mubeen, Masoud Daneshtalab, Mikael Sjödin The 30th International Conference on Real-Time Networks and Systems (RTNS'22)
An Evaluation Framework for Modeling Languages Supporting Predictable Vehicular Software Systems (Apr 2022) Enxhi Ferko, Igli Jasharllari , Alessio Bucaioni, Mohammad Ashjaei, Saad Mubeen 19th International Conference on Information Technology : New Generations (ITNG2022)
A Conceptual Framework for Software Modeling ofAutomation Systems (Apr 2022) Mohammad Ashjaei, Alessio Bucaioni, Saad Mubeen 19th International Conference on Information Technology : New Generations (ITNG2022)
Communication Patterns in Automotive Systems (Mar 2022) Ruben Broux, Elena Lisova, Saad Mubeen
Space Computing using COTS Heterogeneous Platforms (Nov 2021) Nandinbaatar Tsog
Partner | Type |
---|---|
Arcticus Systems AB | Industrial |
HIAB AB | Industrial |