In crisis situations, it is particularly important to get a first overview of the situation very quickly. The more precise this overview is, the safer and faster the most important, immediate measures can be taken.

The focus of this project is therefore the targeted use of unmanned aerial vehicles (UAV) for ad hoc creation of the situation report in the event of a critical event. Possible scenarios include traffic accidents such as pile-ups on the high-performance road network, general danger situations such as major fires, industrial accidents, evacuation cases and crime scenes. In the latter scenario, the documentation is in the foreground. The positional images are determined by means of optical sensors in the visual and infrared spectral range, which are integrated in the UAV. In addition to aerial sensor technology, laser scanners are used in the project to expand the situation image with details that are not visible or cannot be measured accurately enough from the air. The UAVs are already launched from a distance and can be faster at the scene of the direct line of the air and already on the way there transmit observation data (situation image is built in real time).

The interpretation of the sensor data involves context-dependent analysis of the scene, e.g. the detection and evaluation of dangerous goods symbols, determination of the degree of destruction of the involved vehicles, detection of persons inside and outside of vehicles, determination of the fastest way to the accident site at e.g. blocked escape route. Thus, an immediate decision support for selection and type of necessary rescue or evacuation measures can be provided. In the case of documentation of accidents or crime scenes, the situation picture is a centimeter-accurate representation of the scenery. As a result, any surveying of the scene can also be carried out with high precision in hindsight. A special feature of the user-friendliness is the semi-autonomous attitude control system, which should give the operator the most important freedom in crisis and stress situations to be able to concentrate on the actual intended use and not on the piloting of the UAV.

The basis of traffic analysis research is the data collection after accidents and the associated electronic data processing. The input of the data is very complex and should therefore be automated in this project, using the situation images. Information from the operational picture should also be integrated into existing training and education tools to allow a more realistic simulation but also planning an assignment. Together with the industrial partners and the stakeholders, the results are evaluated based on typical application scenarios. In addition to the potential of innovative applications, we expect a high economic profitability for the sensor and analysis system at comparatively low costs with marketing potential in traffic, safety and industry.