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The SADA project (smart adaptive data aggregation) is being implemented by Siemens AG, fortiss GmbH, Baselabs GmbH, NXP Semiconductors, DFKI, and ALL4IP Technologies GmbH & Co KG as project partners.
State-of-the-art cars are increasingly being equipped with sensor technology. From advanced driver assistance systems (ADAS) to driverless operation, this technology will turn passenger and goods vehicles into mobile measurement stations in future.
At the same time, the transport infrastructure in many cities now includes sensors that supply up-to-date information about traffic flows, traffic density, availability of parking spaces, and other data to the vehicle via the Car-2-X interface.
And drivers now carry their own sensors. Almost everyone these days has a smartphone whose camera could be incorporated into the car’s sensor technology using plug&play to enable otherwise less well-equipped vehicles to participate.
Intelligent analysis of this data can help optimise capacity utilisation of the transport infrastructure, reduce traffic jams, and minimise the amount of driving needed to find a parking space, as well as reduce CO2 and particulate emissions. It can predict and avoid potentially hazardous situations, resulting in improved safety and convenience.
SADA is developing a system that will network and flexibly link:
The system will be capable of using existing elements on a modular basis and flexibly relinking them.
The primary objective of SADA is to develop a solution that will link the data present in the car intelligently and flexibly with data from stationary sensor infrastructure and/or carry-on sensors, enabling new application ideas to be rapidly implemented.
Objective: from state-of-the-art interwoven components to a flexible, modular data fusion structure
A process of adaptation and fusion is being developed that will be able to identify available data in real time and select the data that is relevant to a given application, which will enable rapid responses. To network sensor data from different sources, a high-speed communications architecture is being developed that will network sensors both inside and outside the vehicle (Car-2-X) with the processing units. To make this possible, the project partners are developing a platform for modular sensor fusion that will give the various participants in the value chain new ICT-based business models and so bolster their competitiveness in the area of ICT for electromobility. SADA also provides the technological basis for the standardised merging, preparation, and provision of information in the areas of smart cars, smart grids, and smart traffic.
There is no question that electromobility will play a key role in confronting the global challenges of climate change, urbanisation, and demographic change. The shift toward electromobility also offers an unprecedented opportunity to use the appropriate ICT to develop the smart cars of the future that will be closely networked with infrastructure systems such as the smart grid or future smart traffic systems.
Combining data from mobile units and infrastructure has not yet become standard, however, and potential added value is lost as a result. There is no opportunity to use existing elements on a more modular basis and flexibly re-link them.
A major reason appears to be the current ADAS systems, which are installed in vehicles in the development stage, and still use standard sensors. This means that the systems are designed with a limited number of sensors in mind, and data fusion is programmed to suit the requirements of the given system. An application can use only the sensors that were predefined for it, and a flexible response is out of the question. It is virtually impossible to re-use the sensors or the data on a custom basis. It is also very difficult to get different applications to work together.
Until now, it has only been possible to make different applications work together if all the necessary data and sensors are known in full at the very beginning of the design process. As soon as a range of new vehicle concepts and infrastructure elements are required to work together, however, it is almost impossible to define all potential data sources or possible applications that may arise. That’s why flexible systems are needed that can incorporate unknown data sources or applications to make it possible to flexibly adapt and expand services at all levels.