Data Channel API: Middleware for Big Data Streaming in Automotive(Conference Paper)
- University of Novi Sad, Faculty of Technical Science, Novi Sad, Serbia
Abstract
Advanced Driver Assistance Systems (ADAS) now depend on increasingly advanced sensors that include high-resolution cameras or lidars, therefore it is necessary to support the exchange of big data in real-Time. At the same time, In-Vehicle Infotainment (IVI) systems are also more advanced and expect a large amount of data to display. Therefore, IVI systems need the streaming of big data in real-Time too. Because of these needs, both systems require a solution to the same problem. In addition, these two systems also exchange big data among themselves, so there is a need for a common solution. ADAS and IVI systems can be on different platforms, have different operating systems, and have different architectures, therefore solution need to be independent of that. This paper presents an example of middleware which enables big data exchange in real-Time and its performance. The middleware is independent of architecture, operating system, and third-party software. © 2024 IEEE.
Indexed keywords
| Engineering controlled terms: | Advanced driver assistance systemsAutomobile driversBig dataMiddlewareReal time systems |
|---|---|
| Engineering uncontrolled terms | Advanced sensorsAutomotivesData channelsData streamingHigh resolution cameraHigh-resolution lidarInfotainment systemsReal- timeStreamingVehicle infotainment |
| Engineering main heading: | Electronic data interchange |
Funding details
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| 451-03-65/2024-03/200156 | ||
| 01-3394/1 |
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1
This research has been supported by the Ministry of Science, Technological Development and Innovation (Contract No. 451-03-65/2024-03/200156) and the Faculty of Technical Sciences, University of Novi Sad through project \"Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad\" (No. 01-3394/1).
- ISBN: 979-835034915-3
- Source Type: Conference Proceeding
- Original language: English
- DOI: 10.1109/ZINC61849.2024.10579387
- Document Type: Conference Paper
- Publisher: Institute of Electrical and Electronics Engineers Inc.
Trifunovic, N.; University of Novi Sad, Faculty of Technical Science, Novi Sad, Serbia;
© Copyright 2024 Elsevier B.V., All rights reserved.