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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hajj, Hazem M. Fawaz, Faysal Dakroub, Marwan El Dana, Mohamad El-Hajj, Wassim |
| Abstract | Artificial intelligence and wireless technologies have progressed rapidly in the last decade driven by technology evolution and new emerging applications. The automotive industry has the opportunity to benefit from progress in these fields. In this paper, we propose an extensible software framework that can be implemented on all vehicles. It comprehends the capabilities supporting wireless communication and analytics for collaborative intelligence among vehicles and data mining solutions. The architecture has four key modules for: interface to on-board controls, external wireless communication, artificial intelligence, and an internal virtual bus. The design is implemented as a framework so that new applications can be developed with minimal additions to achieve high end solutions. We demonstrate the effectiveness of the architecture with vehicle safety applications, and illustrate the use of collaborative intelligence. A potential implementation is proposed with multi-threads lending itself to parallel programming and high performance computing for real-time response. |
| Starting Page | 26 |
| Ending Page | 31 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450300629 |
| DOI | 10.1145/1815396.1815403 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-06-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Vehicle to vehicle Artificial intelligence Extensible software Framework |
| Content Type | Text |
| Resource Type | Article |
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