Overview Applied research

The applied research team of b-plus is concerned with advanced technology development and continuously involved in joint research projects. The focus is on technologies advancing highly automated, fully automated and autonomous driving. Therefore, b-plus makes a major contribution to the development of new technologies for the vehicle of tomorrow.

Among other things, the main topics are:

  • Ethernet networks and switches
  • Time synchronization
  • Time-Sensitive Networking (TSN)
  • High bandwidth data transmission and processing
  • Machine Learning and Artificial Intelligence (AI)
  • Anomaly detection
  • Standardization

Research project „Decentralized Anomaly Detection (DecADe)“

Within the DecADe research project, methods for the detection and investigation of IT security incidents in networked embedded systems were developed together with the project partners Airbus, AVL, Deggendorf Institute of Technology, Technical University of Munich and University of Bremen. An universal, adaptable monitoring system has been designed, which can be adapted to the specific application scenario by configuration.

b-plus focused within the project on anomaly detection in automotive Ethernet networks. Among other things, methods of artificial intelligence were used. This resulted in an embedded switch reference platform for anomaly detection.

Runtime: 06/2016–05/2019

Link to the research project

Research project „AutoConstruct“

Within the AutoConstruct research project, b-plus together with the project partners CMORE, Continental, Fraunhofer IAIS and TÜV NORD carried out research on real-time environment recognition of construction sites using cost-optimized camera sensors suitable for series production for highly and fully automated driving. A fully integrated solution for the detection of construction site areas was developed that enables highly automated driving in these areas.

b-plus focused within the project on networking, data acquisition, data logging and prototype platforms. Among other things, high-bandwidth data acquisition had to be ensured in a synchronized sensor network. This provided the opportunity to generate complex, digital dynamic environment models in the sense of an electronic horizon. The raw data sensors are connected with the prototypes and logging platforms using a high-performance Ethernet switch.

Running time: 12/2016–11/2019

Link to the research project

Research project „Vertrauenswürdige IT für Autonomes Fahren (VITAF)

Within the VITAF research project, research to guarantee the trustworthiness of IT systems in the context of autonomous automobiles, in order to create the basis for safe autonomous driving, is currently carried out together with the project partners AVL Software and Functions GmbH, easycore GmbH, Fraunhofer Institute for Secure Information Technology, Berlin School of Economics and Law, Deggendorf Institute of Technology and the Technical University of Munich.

The vehicle of the future is a computer system that is strongly connected in itself and with the outside world. Based on diverse sensor data, which are evaluated by complex algorithms, it is able to drive autonomously or at least can temporarily control the driving process independently, based on the degree of automation.

The large amount of data used and the criticality of the decisions based on it make it indispensable to ensure the trustworthiness of the data used as well as the trustworthiness of the components processing the data.

Within the project, b-plus focuses in particular on the topics of trustworthy controllers in the vehicle and trustworthy data transmission and storage in the vehicle.

Runtime: 01/2019–12/2021

Link to the research project

iAATG funding project

In the context of the iAATG funding project, research and development is currently in progress with the project partners b-plus, BMW Group Dingolfing and the Deggendorf University of Applied Sciences to secure automated driving functions.

In detail, three concepts are used for this purpose. On first, a large number of vehicle variants and equipment options of the BMW iNEXT, from the color of the vehicle to the tire tread, are being analyzed for potential interactions with sensors, for example. For this task, algorithms based on artificial intelligence are used, which are able to recognize relevant patterns in large amounts of data. In a second and third sub-project, the aim is to develop innovative test methods in addition to analysis. For example, a "test box" is planned, which will be installed in test vehicles and whose software will simulate certain environmental scenarios for the vehicles by intervening in the electronics, such as an obstacle on the road.

The b-plus deals with these simulations in order to be able to create situations that occur rarely and to efficiently check reactions and functions of a vehicle. Similar test procedures are also to be developed to check that highly automated vehicles adequately use information from the manufacturer's cloud – such as traffic or weather information – and react as desired.

Running time: 03/2019–02/2022