研究・調査

The ATLAS-L4 (Automated Transport between Logistics centres on highways, Level 4) research and development project combines expertise from industry, scientific research and infrastructure operators in hitherto unique ways to create an integrated approach to the operation of autonomous vehicles on public motorways and highways. ATLAS-L4 intends to demonstrate that the use of Level-4-automated and thus driverless vehicles on the highway is feasible, laying the foundation for innovative transport and logistics concepts. The project makes direct use of the new opportunities opened up by the legislation on autonomous driving passed in 2021, in which Germany is set to hold a worldwide pioneering position. In this way, ATLAS-L4 contributes both to the future-proof design of road freight transport and to strengthening Germany as a business location.

“In the research project KI Wissen, methods for the integration of existing knowledge into the data driven AI functions of autonomous vehicles are developed and examined. The aim is to create a comprehensive ecosystem for integrating knowledge into training and securing AI functions.” 

BTC Embedded Systems is a member of the industrial advisory board of the Step-Up!CPS project. 

“Highly automated and autonomous systems in different domains (automotive, aerospace, rail, maritime, health care and farming) are all basically facing the same challenges. Exploding complexity, or a nearly infinite number of possible environmental scenarios that require consideration are just a few of them. The ENABLE-S3 consortium combines experts from six different domains with tool suppliers and academia in order to cope with the main testing challenges.”

“Future mobility solutions will increasingly rely on smart components that continuously monitor the environment and assume more and more responsibility for a convenient, safe and reliable operation. Currently, the single most important roadblock for this market is the ability to come up with an affordable, safe multi-core development methodology that allows industry to deliver trustworthy new functions at competitive prices. ASSUME will provide a seamless engineering methodology, which addresses this roadblock on the constructive and analytical side.” 

The use of advanced methods to solve practical and industrially relevant problems by computers has a long history. Whereas sSymbolic Computation is concerned with the algorithmic determination of exact solutions to complex mathematical problems, more recent developments in the area of Satisfiability Checking tackle similar problems but with different algorithmic and technological solutions. Currently the two communities are largely disjointed and unaware of the achievements of the other. This project initiated a wide range of activities to bring the two communities together. Combining the knowledge, experience and technologies of these communities will enable the development of radically improved software tools.

“ARTEMIS project MBAT provides European industry with a new leading-edge V&V technology in form of a Reference Technology Platform (MBAT RTP) that will enable the production of high-quality and safe embedded systems at reduced cost in terms of time and money. This will be made possible by a new and very promising approach in which model-based testing technologies will be combined with static analysis techniques.” 

The embedded safety-critical systems design and development industry is facing increasing complexity and a variety of systems and devices, coupled with growing regulatory constraints while costs, performance and time to market are constantly challenged. CESAR will bring significant and conclusive innovations in the two most improvable systems engineering disciplines:

-Requirement engineering in particular through formalization of multi viewpoint, multi criteria and multi level requirements,

-Component based engineering applied to design space exploration comprising multi-view, multicriteria and multi level architectural trade-offs. 

“The transfer project DeCoDe aims at the efficient and precise detection of dead code in reactive, control-oriented and floating–point dominated C programs. This includes especially those derived from Simulink/Statefow models of embedded control applications via automatic C-code generation as well as those hand-coded according to guidelines as imposed in the embedded domain.”