AI-supported civil protection and disaster prevention


Using technology in the event of a disaster
Illustration: DLR, source 4 photos:

Bild: DLR, Quelle 4 Fotos:


Innovative technology network to strengthen effective and resilient disaster prevention and crisis management.

Disasters pose significant challenges to civil protection and disaster management. Particularly affected are the availability of communication links, up-to-date data for situation assessment and evaluation, especially with regard to critical infrastructure, access to the disaster area despite destroyed infrastructure, and the safe transport of goods to and from disaster areas.

The RESITEK (Resilient Technologies for Civil Protection) project aims to pool DLR's capabilities and technologies in the fields of aeronautics, space, energy, transport and security. This will be achieved by integrating technologies and services into a data and visualisation system.

Based on this system, a continuous situation monitoring system is to be established. This system will enable user-oriented and efficient recording, planning and implementation of operations in the event of a disaster.
The data and visualisation system is designed to collect and analyse all relevant data. The aim is to provide recommendations for action in both normal and critical situations. In the event of a disaster, the system is designed to make the deployment of emergency services as efficient as possible.

In a joint final demonstration, the smooth interaction of the developed platforms with various emergency vehicles, both ground and air vehicles, both manned and unmanned, will be demonstrated in a realistic scenario in front of authorities and interest groups.
For the RESITEK project, this requires an adaptable approach to scenarios and user requirements. It is necessary to develop a modular and continuously expandable overall system.

The focus areas of the project are:

  • Space Weather: Impact on people and energy infrastructure
  • Resilience of power grids: Creation of island grids
  • Mobility in special situations: Use of electric vehicles for networks, escape and accessibility
  • Remote guidance and mission planning: including communication and navigation
  • Complex situation picture: using various emergency vehicles

Contribution Institute for AI Safety and Security

The Institute for AI Safety and Security pays particular attention to the development and research of methods for assessing data quality. The focus here is on protecting data integrity by ensuring traceability and provenance during data creation and processing. In this context, the validation of non-technical requirements will also be analysed as part of the campaign. Recommendations for action are derived on legal and ethical issues that arise in the context of technology development, such as ethics in dealing with sensitive data and the anonymisation of camera data, especially of people.


Dr. Michael Karl

Head of Department
German Aerospace Center (DLR)
Institute for AI Safety and Security
Safety-Critical Data Infrastructures
Rathausallee 12, 53757 Sankt Augustin

Karoline Bischof

Consultant Public Relations
German Aerospace Center (DLR)
Institute for AI Safety and Security
Business Development and Strategy
Rathausallee 12, 53757 Sankt Augustin