Digital systems in intelligent transportation systems (ITS) are becoming increasingly complex. New applications for these ITS have emerged to cope with societal needs and to ensure driver and passenger safety. Applications such as Autonomous cars, Vehicle-to-X (V2X) communications, in-vehicle infotainment, and assistance for elderly and disabled drivers require powerful processing and communication capabilities. Moreover, modern transport tools play a leading role in strategically worldwide projects such as green and sustainable mobility in future smart cities and smart roads. In this context, system safety and security are becoming increasingly relevant as humans are progressively ruled out from the decision/control loop of intelligent, and learning-enabled machines. In particular, the technical foundations and assumptions on which traditional system engineering principles are based are inadequate for systems in which Artificial Intelligence (AI) algorithms, in particular Machine Learning (ML) algorithms, are interacting with the physical world at increasingly higher levels of autonomy.
The special session “Architectures and Systems for Automotive, Aeronautic, Space and Intelligent Transportation (ASAASIT)” is addressing all technological and methodological aspects related to ITS. Papers on any of the following and related topics can be submitted to the special session:
CPS, Conference Publishing Services, publishes the (ISI indexed) DSD Proceedings, available worldwide through the IEEE Xplore Digital Library. Extended versions of selected best papers will be published in a special issue of the ISI indexed “Microprocessors and Microsystems: Embedded Hardware Design” Elsevier journal.
R. Nouacer (CEA, FR)
H. Espinoza (CEA, FR)