This solution participated in a Driver+ Trial

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The solution “Airborne and Terrestrial Situational Awareness” is composed of several individual components and tools, which are integrated into a complete system, ready to be deployed in different scenarios. The systems can also be used in combination.

3K camera system

DLR's optical 3K camera system enables the acquisition and immediate processing of high-resolution aerial imagery. It is integrated into the research aircraft D-CODE, a modified Dornier Do 228 with a digital autopilot, which is operated as a Remotely Piloted Vehicle (RPV). The camera system captures - depending on the flight altitude - an area of 80 square kilometers in about two minutes, generates georeferenced aerial images and transmits the results to the ground station via a data link.

Remotely Piloted Vehicle and U-Fly

The flight path planning and remote control is executed by the ground control station U-Fly, which is connected to the Remotely Piloted Vehicle (RPV) using a data link for command, control, and communication (C3). The RPV provides aerial images and sends the data over a separate payload data link to the ground system.

Center for Satellite Based Crisis Information (ZKI)

The Center for Satellite Based Information (ZKI) is a 24/7 service and operates at national and international level. ZKI aims at rapid acquisition, processing and analysis of earth and ancillary data in order to generate up-to-date situational awareness information before, during or after a situation, humanitarian crisis or in case of major events. Main user groups are political decision makers, situation centers and relief organisations.

Based on the acquired satellite or aerial imagery as well as additional data, information layers relevant for are derived and provided for instance as geo web services and map products according to the users’ requirements using the resources of the ZKI- .

KeepOperational

KeepOperational combines the derived information layers, together with data from terrestrial traffic sensors. KeepOperational is an extension to the DLR Traffic Data Platform. The Traffic Data Platform consists of a set of services for processing and analysis of traffic data. In combination with the information layers obtained from aerial imagery, KeepOperational provides traffic analysis and route planning capabilities on infrastructure which is affected by a crisis.

Accessing Remote Sensing Based Situation Analyses Products

To get an overview of an area that is affected by a and build situational awareness, an organization can access information products on extent and potentially affected areas, people, buildings and infrastructure derived from remote sensing data (e.g. flood mask, digital 2D/3D map).

Related CM functions

Planning of crisis response actions

To plan the setup of my base of operation, it is helpful to have an overview of the covered operation area and the possible times in this area. Furthermore to plan the dispatching of rescue vehicles, a routing which incorporates the current status of the infrastructure (based on the available information) is required. Blockades can be entered to specify unusable parts of the infrastructure.

Related CM functions

Remote Sensing for Disaster Overview

To get a quick overview of an area that is affected by a and build situational awareness, an can use remote sensing data. Aerial images are displayed in a map display in near real-time and enable the to get a fast overview, react purposefully, and ensure that images of the whole crisis area are collected. This can be achieved by flight path adaptation during the flight.

Related CM functions

Illustrations
Overview of the Solution
Ground Control Station
Drone Demonstrator Dornier Do 228
Map products are tailored to the needs of crisis managers
Road closures or blockades can be added manually
Determine the impact of the crisis on reachability
Visualisation of Digital Surface Model and Aerial Imagery acquired during DRIVER+ Trial 'Austria'
3D Map product trialled in DRIVER+ Trial 'The Netherlands'
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Video illustrations
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© DRIVER+

DRIVER+ project has received funding from the European Union's 7th Framework Programme for Research,
Technological Development and Demonstration under Grant Agreement (GA) N° #607798