InnoSenT GmbH

InnoSenT GmbH

Founded in 1999, InnoSenT GmbH is one of the leading radar technology companies and a major driving force behind the progress of radar sensor technology. At their company headquarters in Donnersdorf, the radar experts develop new products, manufacture electronic components on state-of-the-art equipment according to the highest quality standards and market them worldwide. 

The radar solutions of InnoSenT are used in various industrial and automotive applications. For example, they perform tasks in the field of traffic monitoring (e.g. speed measurement or intersection management), building automation (e.g. motion detectors for door and light control), security technology (e.g. alarm systems and perimeter protection), industry (e.g. level detection and collision protection) and they serve as driver assistance systems (e.g. lane change assistant, park distance control, vehicle interior monitoring or distance warning systems).

InnoSenT has long years of expertise in the field of high frequency circuit design and digital radar signal processing. In the development of advanced and innovative radar systems, the company focuses on continuous further development of hardware and software. 

One field of development is the use of AI-based algorithms. These are still relatively new for data processing in the radar sector, but they offer great potential. Artificial intelligence has already established itself in the fields of vehicle classification and object tracking (high-level data processing). Now, raw data processing (low level) is also to benefit from this approach in order to further improve detection reliability and resolution. For this reason, the industry is currently driving the expansion of this topic, particularly in the area of pre-development. 

InnoSenT's work in the KI Delta Learning project focuses on three main areas: the development of a method for generating synthetic radar data, the application of synthetic radar data for designing a development and test environment for AI-based radar signal processing as well as the development of a Delta Learning method for adaptation to different radar architectures.