Projects and products

The INITIATIVE project aims to develop AI-based adaptive communication for the integration of automated vehicles in mixed traffic scenarios.

Our Advanced Occupant Monitoring System detects the driver and all occupants of a vehicle to distinguish between different activities and detect critical situations.

The networked maritime surveillance and reconnaissance mission of the future is the focus of the European joint research project OCEAN2020. The goal is to generate a comprehensive maritime situation picture based on established as well as new technologies. Fraunhofer IOSB is contributing its expertise in the field of underwater drones and maritime situation analysis.

Modern harvesting machines are complex systems that can be configured in many different ways. For example, countless individual parameters can be set by adjusting the sieves, threshing drum speed, vehicle speed, fan power and much more. The BMBF project AGATA is investigating how an optimal configuration can be found here to make the machines as efficient as possible for each field.

Halodome is an AI system for automatic detection of anomalies and defects on components. Supported by a human operator and latest human-computer interaction, the system learns to distinguish between good samples and anomalous samples. In the process, the detection rate continuously improves.

Camera-based people tracking on the video wall in the Porsche Museum in Stuttgart.

The Digital Map Table - a new approach in the shared situation visualization and analysis.

"beAWARE" offers improved decision support for extreme weather and climate events. The project work resulted in an integrated solution for forecasting, early warning, transmission and forwarding of emergency data.

In the KARLI project, IOSB is developing occupant state detectors for interactions in the vehicle interior.

The "WaterFrame®" project forms the basis for the cooperative development of watercourse information systems.

Fraunhofer IOSB is a partner in the SM4RTENANCE project to enable a federated neutral cross-sector data space, resulting in the development of interoperable circular twins and integration between data spaces

Data is collected in the vineyard using a combined system of quad bike, drone and calibrated markers in order to develop a systematic monitoring procedure.

Fraunhofer IOSB has developed an autonomous surface vehicle that autonomously takes measurements above and below the water to generate associated 3D maps.

To facilitate faster data transfer between astronomical equipment in space and base stations on Earth, optical communications links can be deployed. Among the design challenges faced when designing deep space communications are: very low power of received signals, the effect atmospheric turbulence on propagating signals, and strong presence of background light from the Sun, which varies over the course of the day. To cope with these challenges, deep space optical communications require adaptive optics (AO) systems to maximize the number of received signal photons, as well as exceptionally narrow bandwidth optical filters to remove background noise from received signals.

Despite the availability of significantly higher bandwidth, the underwater environment poses challenges to the design of optical communications systems. In clean ocean water, extinction due to absorption and scattering very strong, and limits the useful range of underwater communications to ∼100 m in the blue-green spectral window. Additionally, underwater optical turbulence stemming from minute differences in water’s refractive index and salinity perturbs the transmitted laser beams effecting the fidelity of received signals. In the Adaptive Optics group at Fraunhofer IOSB, we study the effect of underwater optical tur-bulence on transmitted laser light and try to compensate the effects of turbulence using adaptive optics systems.

As an alternative to the Shack-Hartmann wavefront sensor, holographic wavefront sensors (HWFS) provide the potential for significantly increased bandwidth capabilities as well as insensitivity to obscurations. The HWFS consists of two main components: a holographic diffractive optical element (DOE) and a small detector array.

Images are a fundamental tool for our understanding of the world both at microscopic and macroscopic length scales. The simplest way to acquire an image is to analyze light through spatially resolved intensity measurements, e.g., on a camera, but this approach is limited by diffraction. The development of imaging techniques that beat the diffraction limit is known as super-resolution.

Free-space optical communications is an excellent example of a technology with both military and civilian relevance and also with compelling scientific timeliness and good market prospects. Based on experience of the IOSB’s employees in the area of laser beam propagation through turbulence, new laser-based telecommunications concepts are being designed, implemented and tested against atmospheric disturbances.

The project will realize a network of Digital Twins as a key enabler for Manufacturing-as-a-Service (MaaS), where production and manufacturing are offered as a service.

The RLT-Opt project is developing new methods and tools to enable the inventory and savings potential to be quickly recorded in the first step, so that corresponding optimization measures can be implemented in a targeted manner in the second step. The first step is to analyze the tightness and operating mode of the ventilation and air conditioning systems. The operation of the ventilation and air conditioning systems is successively optimized by sensor-based recording and evaluation of essential operating parameters.

Wir unterstützen die maritime Situationsüberwachung mithilfe von KI-gestützen Methoden bei der Datenanalyse und der digitalen Lagedarstellung. Dabei setzen wir unsere folgende Expertise ein: KI für räumlich-zeitliche Daten, Expertensysteme, Anomaliedetektion, Lagebilddarstellung sowie unser Produkt Digitaler Lagetisch (DigLT).

The Competence center “Robot systems for decontamination in hazardous environments” is the research center for autonomous or semi-autonomous robot systems, which are to be used in practical applications where work has so far been associated with a considerable risk potential for humans.

The aim of the project is to make the operation of drones safer - by connecting U-Space to data sources on relevant hazard information, including monitoring drone statuses, AI-based decision support and communication concepts.

The global objective of the ML4Heat project is the development of methods and software tools for the optimization of the operation of existing district heating networks under energetic and economic aspects. For this purpose, sensor and operating data of the district heating transfer stations as well as the heat supply shall be collected to a large extent and evaluated by means of machine learning methods.

Adhering to data protection and securely documenting critical work steps - 4Crypt Video and the flexible authentication procedure make it possible.

Classic tasks in the evaluation of large (volumes of) aerial and satellite image data are searching, finding, classifying and counting various objects.

BLUEASSIST: Konzept-Entwicklung eines innovativen UAS-Gesamtsystems zur zuverlässigen und kostengünstigen Datenerfassung im maritimen Bereich

The project "Smart Agriculture" aims at the automated collection of data on complex interrelationships in field farming and, based on this, to support decision-making processes in the value creation network.

The mobile version of the Digital Map Table offers many advantages.

The Competence Center for Applied Security Technology (KASTEL) is one of three competence centers for cyber security in Germany, which were initiated in March 2011.