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 |
Saad | Mubeen | Professor |
Sima | Sinaei | Post Doc |
Zenepe | Satka | Doctoral student |
Hossein | Fotouhi | Associate Professor,Docent |
John | Lundbäck | |
Kurt-Lennart | Lundbäck | |
Mattias | Gålnander | |
Mohammad | Ashjaei | Associate Professor,Docent |
Bridging the Gap: An Interface Architecture for Integrating CAN and TSN Networks (Dec 2024) Aldin Berisa, Saad Mubeen, Masoud Daneshtalab, Mohammad Ashjaei, Mikael Sjödin, Benjamin Kraljusic , Nejla Zahirovic MRTC Report, Mälardalen Real-Time Research Centre (MRTC 2024)
An Improved Worst-Case Response Time Analysis for AVB Traffic in Time-Sensitive Networks (Dec 2024) Daniel Bujosa Mateu, Julián Proenza , Alessandro Papadopoulos, Thomas Nolte, Mohammad Ashjaei 45th IEEE Real-Time Systems Symposium (RTSS 2024)
Enhancing Real-Time Networked Embedded Systems with End-to-end TSN-5G Networks (Dec 2024) Zenepe Satka, Saad Mubeen, Mohammad Ashjaei, Daniel Ragnarsson , Didrik Nordin IEEE 14th International Symposium on Industrial Embedded Systems (SIES2024)
Using NETCONF for Automatic Fault Diagnosis in Time-Sensitive Networking (Sep 2024) Ines Alvarez, Saad Mubeen, Mohammad Ashjaei IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'24)
Redundancy Link Security Analysis:\An Automation Industry Perspective (Sep 2024) Björn Leander, Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei, Tomas Lindström IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'24)
TALESS: TSN with Legacy End-Stations Synchronization (Aug 2024) Daniel Bujosa Mateu, Julián Proenza , Alessandro Papadopoulos, Thomas Nolte, Mohammad Ashjaei Open Journal of the Industrial Electronics Society (OJIES)
Partner | Type |
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Arcticus Systems AB | Industrial |
HIAB AB | Industrial |