MOST Network and System Virtual Prototypes – Evaluation Framework for MOST-based ADAS

MOST-based driver assistance systems are important for the safety of all road users.
MOST-based driver assistance systems are important for the safety of all road users.

An efficient communication network is the backbone of distributed Advanced Driver Assistance Systems (ADAS). Analysing such systems in different scenarios under different system parameters is a complex task. Evaluating essential system parameters in an early design phase for the optimum system behaviour is important. This article discusses an evaluation framework based on a virtual prototype for assessing MOST and its role in ADAS.

The number of ADAS in a vehicle is continuously increasing. These systems process the information from multiple sensors such as radar, cameras or the Global Positioning System (GPS). Because these sensors are located all over the vehicle, an efficient data communication network is necessary to share the information between the different ADAS. Additionally, these systems often demand commonly used, complex processing algorithms like fast Fourier transformation or a Hough transformation. It could be beneficial to have dedicated preprocessing nodes for this common task, maybe with optimized hardware architectures. This increases the requirements for the distributed ADAS network. By providing an optimised communication network, the amount of wiring can be reduced. The MOST communication network offers many features that are required for such a task.

The MOST network technology offers a variety of configuration alternatives. They have to be assessed to find the optimal solution, preferably in an early design phase. To support the assessment, an evaluation framework based on virtual prototyping has been developed. It reduces the evaluation complexity of such distributed, network-based applications.