TNO is the world leader in truck platooning technology. This technology allows a group of trucks to become linked to each other, using data transmitted over radio communication, forming a virtual “vehicle train” driven by the front vehicle driver only (the other drivers become passengers).
The technology that enables truck platooning is called Cooperative Adaptive Cruise Control (CACC). To guarantee correct CACC it is important to accurately derive the data transmission latencies between trucks. The latency calculations should take into account not only the radio communication delays, but also the delays introduced by the data flowing from one component of the truck hardware platform to another.
In this assignment, you will contribute to development of a systematic methodology to ascertain the worst-case-scenario end-to-end latencies together with its statistics, in a way that is modular and captures the shared resources interactions.
The assignment will give you the opportunity to get acquainted with real-life ADAS architectures, work in a dynamic environment on automated driving functions at TNO Helmond and to link the practical and theoretical aspects of timing analysis of ADAS architectures.
Basic concepts in model-based design and real-time systems
TNO Automotive Helmond
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