Environment perception technologies and sophisticated signal processing algorithms yield today mature understanding of dynamics of transportation vectors. Uncertainty management became inherent to decision making following such environment understanding processes. However, designers of critical embedded systems remain skeptical about considering uncertainty, probably as design tools and frameworks have not yet integrated advances in state-of-the-art of confidence management approaches. Furthermore, hesitant multicore programming tools do not provide yet enough native redundancy for applications offered by such technologies, which would have been a precious contribution to increase their reliability. In this paper, which outlines the conference keynote, we present a synopsis of these new challenges that will face in the near future designers and tool developers for Intelligent Transportation Systems.
Future Challenges in Design Frameworks for Embedded Systems: Application to Intelligent Transportation Systems
2014
4 Seiten
Conference paper
English
Intelligent transportation systems - Opportunities and challenges
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