| Software Architectures and Security for Connected Vehicular Systems | ||||||||||||||||||||||||
| I.D. # | C1216 | Duration | 1 Day | |||||||||||||||||||||
The connected vehicle of the future will contain features that fall into three mobile communication and vehicle sensing technology categories: telematics, autonomous systems, and local or short-range communication systems. Effective and safe functionality of these systems relies upon robust software and security protocols. This class provides an overview of typical connected vehicle applications and services operating on-board the vehicle. The software systems, including protocols and packetization, are examined at an architectural level and not at a detailed programming level. A discussion at the architectural level provides a communication platform that can be used between a wide range of stakeholders (technical and non-technical). Important decisions that affect the detailed software design of applicable systems can subsequently be made earlier in the development process, and existing designs can be evaluated for usability in autonomous connected vehicles. | ||||||||||||||||||||||||
| Learning Objectives | ||||||||||||||||||||||||
By attending this module, you will be able to:
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| Who Should Attend | ||||||||||||||||||||||||
This course is appropriate for engineers or managers who want a better understanding of the technologies involved in vehicle to vehicle and vehicle to infrastructure applications. Those interested in wireless communications application to vehicular environments, vehicle positioning systems used for connected vehicles, vehicular software architectures and security, and vehicle system applications such as active safety as they apply to automotive/commercial vehicles will find this course useful. Other professionals who will benefit from this course include: managers seeking to evaluate technology/ regulation/standardization/business trends; fleet operators looking to increase business productivity, better manage their assets, meet regulatory requirements more efficiently, and improve asset utilization; business stakeholders involved in controlling/exploiting data transmitted from/to vehicles; those involved with autonomous/unmanned vehicles; and professionals interested in the perspective that the mobility, data security, and safety aspects of connected vehicle systems can enhance the reliability and control of driver-assisted vehicles. | ||||||||||||||||||||||||
| Seminar Content | ||||||||||||||||||||||||
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| Instructor(s): | Kiumi Akingbehin, Ph.D. | |||||||||||||||||||||||
| Kiumi Akingbehin, Ph.D is a Professor of Computer and Information Science at University of Michigan-Dearborn. He has Ph.D. and MA degrees in Computer Science. He also has a MS in Nuclear Engineering and a BS in Electrical Engineering. He has been employed at University of Michigan-Dearborn since 1986. His other employers include GM, NASA, AT&T Bell Labs, IBM, and Unisys. His areas of research interest include wired and wireless networks, real-time software engineering, embedded systems, vehicular communications, and web technologies. He has published over 150 papers in his areas of interest. | ||||||||||||||||||||||||
| Fees: | $725 | SAE Members*: | $580 - $653 | |||||||||||||||||||||
| * The appropriate SAE Member discount will be applied through the Registration process. Discounts vary according to level of membership: Elite Member 20%; Premium Member 15%; Classic Member 10% | ||||||||||||||||||||||||
| CEU | .7 | |||||||||||||||||||||||