Rescue support in large-scale emergency situations

1. A system for rescue support, comprising:

a fleet of unmanned aerial vehicles for deployment within a geographic region, the unmanned aerial vehicles being configured to receive distress signals transmitted by transponder devices worn or carried by individuals in the geographic region subsequent to a large-scale emergency situation, wherein the distress signals include physiological data from one or more sensors associated respective transponder devices,

wherein at least one unmanned aerial vehicle of the fleet of unmanned aerial vehicles includes one or more environmental sensors for generating environment data representative of surroundings of the at least one unmanned aerial vehicle, the environment data includes one or more images; and

a computer system configured to:

process the distress signals to obtain detection data for the individuals, the detection data comprising a location of a respective transponder device among the transponder devices and a health status of a respective individual among the individuals, wherein the health status is determined based on the physiological data,

process the one or more images to determine an infrastructure status within the geographic region, and

generate, based on the location, health status, and environment data, a prioritization chart for the geographic region, the prioritization chart being indicative of one or more sub-regions with associated priorities for a rescue operation,

wherein to generate the prioritization chart, the computer system is further configured to perform one or more of:

determine an estimated time of arrival to the one or more sub-regions for one or more rescue teams located at a respective current location in relation to the geographic region, and include the estimated time of arrival in the prioritization chart;

select one or more candidate rescue teams among a set of available rescue teams, and indicate the one or more candidate rescue teams in the prioritization chart;

select a mode of transport among a set of available modes of transport for at least one rescue team, and indicate the mode of transport in the prioritization chart; or

determine a transportation route for a rescue team to the one or more sub-regions, and indicate the transportation route in the prioritization chart.

2. The system of claim 1 , wherein the computer system is further configured to: determine a grouping of the detection data as a function of at least the location of the respective transponder device, wherein the prioritization chart is generated based on the grouping.

3. The system of claim 2 , wherein the computer system is configured to:

identify, based on the health status the respective individual, selected individuals among the individuals in the geographic region, and determine the grouping for the selected individuals.

4. The system of claim 2 , wherein the grouping results in a plurality of groups of individuals, wherein the computer system is configured to determine a density of individuals in a respective group among the plurality of groups, wherein the one or more sub-regions comprises one or more groups with the highest density of individuals among the plurality of groups.

5. The system of claim 1 , wherein the computer system, when processing the distress signals, is configured to: extract an identifier in a respective distress signal among the distress signals and determine the location and the health status for each unique identifier.

6. The system of claim 1 , wherein the computer system is configured to:

indicate locations of individuals or ensembles of individuals in the prioritization chart.

7. The system of claim 1 , wherein the computer system is configured to:

generate, based on the detection data, a count of living individuals in said one or more sub-regions, and include the count in the prioritization chart.

8. The system of claim 1 , wherein the computer system is configured to:

indicate, in the prioritization chart, a location of one or more rescue teams in relation to the geographic region.

9. The system of claim 1 , wherein the computer system is further configured to: receive rescue status data indicative of locations visited by one or more operative rescue teams, and indicate the locations visited on the prioritization chart.

10. The system of claim 1 , wherein the computer system is further configured to: determine the one or more sub-regions as a function of the environment data.

11. The system of claim 1 , wherein the computer system is further configured to: provide, via the prioritization chart, access to a controller of an unmanned aerial vehicle in the fleet of unmanned aerial vehicles.

12. The system of claim 1 , wherein the distress signals comprise at least one of a distance and a direction from a respective unmanned aerial vehicle to the respective transponder device, wherein the computer system is configured to: generate the location of the respective transponder device as a function of a current position of the respective unmanned aerial vehicle and said at least one of a distance and a direction.

13. The system of claim 1 , further comprising the transponder devices which are configured to be worn or carried by the individuals and operable to transmit the distress signals, the transponder devices being further operable to measure one or more physiological parameters of the individuals and include the thus-measured one or more physiological parameter in the distress signals.

14. A computer-implemented method for rescue support, comprising:

obtaining detection data representative of distress signals that are transmitted subsequent to a large-scale emergency situation by transponder devices worn or carried by individuals in a geographic region and received by unmanned aerial vehicles in a fleet of unmanned aerial vehicles deployed within the geographic region, the distress signals include physiological data from one or more sensors associated with the respective transponders devices, the detection data comprising a location of a respective transponder device among the transponder devices and a health status of a respective individual among the individuals, wherein the health status is determined based on the physiological data;

obtaining environment data from at least one unmanned aerial vehicle of the fleet of unmanned aerial vehicles, wherein the at least one unmanned aerial vehicle includes one or more environmental sensors for generating environment data representative of surroundings of the at least one unmanned aerial vehicle, the environment data includes one or more images;

process the one or more images to determine an infrastructure status within the geographic region; and

generating, based on the location, health status, and environment data, a prioritization chart for the geographic region, the prioritization chart being indicative of one or more sub-regions with associated priorities for a rescue operation,

wherein generating the prioritization chart includes one or more of:

determining an estimated time of arrival to the one or more sub-regions for one or more rescue teams located at a respective current location in relation to the geographic region, and include the estimated time of arrival in the prioritization chart;

selecting one or more candidate rescue teams among a set of available rescue teams, and indicate the one or more candidate rescue teams in the prioritization chart;

selecting a mode of transport among a set of available modes of transport for at least one rescue team, and indicate the mode of transport in the prioritization chart; or

determining a transportation route for a rescue team to the one or more sub-regions, and indicate the transportation route in the prioritization chart.

15. A method for rescue support, comprising:

distributing transponder devices to individuals in a geographic region;

causing the transponder devices to be activated;

controlling a fleet of unmanned aerial vehicles operable within the geographic region to receive distress signals transmitted by the transponder devices subsequent to a large-scale emergency situation in the geographic region, wherein the distress signals include physiological data from one or more sensors associated respective transponder devices,

wherein at least one unmanned aerial vehicle of the fleet of unmanned aerial vehicles includes one or more environmental sensors for generating environment data representative of surroundings of the at least one unmanned aerial vehicle, the environment data includes one or more images; and

operating a computer system to:

process the distress signals to obtain detection data for the individuals, the detection data comprising a location of a respective transponder device among the transponder devices and a health status of a respective individual among the individuals, wherein the health status is determined based on the physiological data,

process the one or more images to determine an infrastructure status within the geographic region, and

generate, based on the location, health status of the respective individual, and environment data, a prioritization chart for the geographic region, the prioritization chart being indicative of one or more sub-regions with associated priorities for a rescue operation

wherein to generate the prioritization chart, the computer system is further configured to perform one or more of:

determine an estimated time of arrival to the one or more sub-regions for one or more rescue teams located at a respective current location in relation to the geographic region, and include the estimated time of arrival in the prioritization chart;

select one or more candidate rescue teams among a set of available rescue teams, and indicate the one or more candidate rescue teams in the prioritization chart;

select a mode of transport among a set of available modes of transport for at least one rescue team, and indicate the mode of transport in the prioritization chart; or

determine a transportation route for a rescue team to the one or more sub-regions, and indicate the transportation route in the prioritization chart.