Kemsaram, Narsimlu;
Das, Anweshan;
Dubbelman, Gijs;
(2022)
Model-Based Systems Engineering to Design An Onboard Surround Vision System for Cooperative Automated Vehicles.
In: Varol, A and Yazici, A and Varol, C and Eryilmaz, M, (eds.)
2021 2nd International Informatics and Software Engineering Conference (IISEC).
IEEE: Ankara, Turkey.
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Abstract
Cooperative automated vehicles have various electronic control units with multiple sensors running complex software algorithms to perceive and navigate their environment. Hence, there is a need to use advanced software engineering design methodology to reduce the software complexity and increase modularity. In this paper, we applied the SysCARS model-based systems engineering methodology to design an onboard surround vision system with a SysML modeling language using the IBM Rational Rhapsody modeling tool. The modeling methodology is described through various phases and steps with a modeling language to overcome the challenges. The modeling tool takes the information from the design model of the system and generates a skeletal code. The algorithm is written for each generated skeletal code, compiled with a C++ compiler on the host Desktop PC (Ubuntu 16.04 LTS), and deployed on the target Nvidia Drive PX2 embedded hardware platform. The designed solution fulfills the requirements of the onboard surround vision system.
| Type: | Proceedings paper |
|---|---|
| Title: | Model-Based Systems Engineering to Design An Onboard Surround Vision System for Cooperative Automated Vehicles |
| Event: | 2nd International Informatics and Software Engineering Conference (IISEC) - Artificial Intelligence for Digital Transformation |
| Location: | Ankara, TURKEY |
| Dates: | 16 Dec 2021 - 17 Dec 2021 |
| ISBN-13: | 9781665407595 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/IISEC54230.2021.9672396 |
| Publisher version: | https://doi.org/10.1109/IISEC54230.2021.9672396 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Computer Science, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Cooperative automated vehicle, deep neural networks, model-based systems engineering, Science & Technology, surround vision system, system modeling language, Technology, unified modeling language |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10182791 |
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