Integrating air and ground data collection for improved drone operation
Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.
1. A computing system comprising:
one or more hardware processors; and
one or more tangible, non-transitory, computer readable media that collectively store instructions that when executed by the one or more hardware processors cause the computing system to perform operations comprising:
obtaining data indicative of an initial route of an aerial vehicle and data indicative of one or more parameters associated with the aerial vehicle;
obtaining location data indicative of a location of a ground vehicle;
determining a deviation route for the aerial vehicle from the initial route of the aerial vehicle to a geographic area including the ground vehicle based on:
the data indicative of the initial route of the aerial vehicle, and
the location data indicative of the location of the ground vehicle;
determining to reroute the aerial vehicle, from the initial route, along the deviation route to collect image data associated with the geographic area based at least in part on the one or more parameters associated with the aerial vehicle; and
communicating one or more commands to the aerial vehicle to divert the aerial vehicle to travel along the deviation route to the geographic area.
2. The computing system of claim 1 , wherein the image data associated with the geographic area comprises one or more images of a portion of a ground route along which the ground vehicle is to travel within the geographic area.
3. The computing system of claim 1 , wherein the operations further comprise:
obtaining data indicating that a sensor of the ground vehicle is occluded from a portion of the geographic area; and
wherein determining to reroute the aerial vehicle from the initial route along the deviation route to collect the image data associated with the geographic area comprises determining to reroute the aerial vehicle to collect the image data of the occluded portion of the geographic area.
4. The computing system of claim 1 , wherein the ground vehicle is a ground-based autonomous vehicle.
5. The computing system of claim 1 , wherein the operations further comprise obtaining the image data associated with the geographic area collected by the aerial vehicle.
6. The computing system of claim 5 , wherein the operations further comprise communicating the image data to a tele-assistance computing system, wherein the tele-assistance computing system is configured to present the image data for display via a user interface.
7. The computing system of claim 6 , wherein the operations further comprise communicating the image data to the ground vehicle, wherein the ground vehicle is configured to process the image data for autonomous operation of the ground vehicle.
8. The computing system of claim 1 , wherein the ground vehicle is a light electric vehicle, and wherein the operations further comprise determining a location of the light electric vehicle within the geographic area based at least in part on the image data associated with the geographic area.
9. The computing system of claim 8 , further comprising:
determining whether the light electric vehicle is positioned in a permitted zone based at least in part on the location of the light electric vehicle.
10. The computing system of claim 8 , wherein the light electric vehicle is a bicycle or a scooter.
11. The computing system of claim 10 , wherein the operations further comprise:
communicating the image data to a mobile device, wherein the mobile device is configured to display the image data within a mobile application, the mobile application configured to display a user interface which allows a user to reserve the bicycle or scooter.
12. The computing system of claim 1 , wherein the one or more parameters comprise at least one of a charge level of the aerial vehicle, a travel distance of the aerial vehicle, a current task of the aerial vehicle, a priority associated with the current task of the aerial vehicle, or a time constraint.
13. A method, comprising:
obtaining data indicative of an initial route of an aerial vehicle and data indicative of one or more parameters associated with the aerial vehicle;
obtaining location data indicative of a location of a ground vehicle;
determining a deviation route for the aerial vehicle from the initial route of the aerial vehicle to a geographic area including the ground vehicle based on:
the data indicative of the initial route of the aerial vehicle, and
the location data indicative of the location of the ground vehicle;
determining to reroute the aerial vehicle, from the initial route, along the deviation route to collect image data associated with the geographic area based at least in part on the one or more parameters associated with the aerial vehicle; and
communicating one or more commands to the aerial vehicle to divert the aerial vehicle to travel along the deviation route to the geographic area.
14. The method of claim 13 , wherein the image data associated with the geographic area comprises one or more images of a portion of a ground route along which the ground vehicle is to travel within the geographic area.
15. The method of claim 14 , the method further comprising obtaining data indicating that a sensor of the ground vehicle is occluded from a portion of the geographic area, wherein the determining to reroute the aerial vehicle from the initial route along the deviation route to collect the image data associated with the geographic area comprises determining to reroute the aerial vehicle to collect the image data of the occluded portion of the geographic area.
16. The method of claim 14 , further comprising:
obtaining the image data associated with the geographic area collected by the aerial vehicle;
communicating the image data to a tele-assistance computing system, wherein the tele-assistance computing system is configured to present the image data for display via a user interface; and
communicating the image data to the ground vehicle, wherein the ground vehicle is configured to process the image data for autonomous operation of the ground vehicle.
17. The method of claim 13 , wherein the ground vehicle is a light electric vehicle, and wherein the method further comprises determining a location of the light electric vehicle within the geographic area based at least in part on the image data associated with the geographic area.
18. The method of claim 17 , further comprising determining whether the light electric vehicle is positioned in a permitted zone based at least in part on the location of the light electric vehicle.
19. The method of claim 18 , further comprising communicating the image data to a mobile device, wherein the mobile device is configured to display the image data within a mobile application, the mobile application configured to provide a user interface that allows a user to reserve the light electric vehicle.
20. A non-transitory computer readable storage medium comprising instructions that when executed configure hardware processing circuitry to perform operations comprising:
obtaining data indicative of an initial route of an aerial vehicle and data indicative of one or more parameters associated with the aerial vehicle;
obtaining location data indicative of a location of a ground vehicle;
determining a deviation route for the aerial vehicle from the initial route of the aerial vehicle to a geographic area including the ground vehicle based on:
the data indicative of the initial route of the aerial vehicle, and
the location data indicative of the location of the ground vehicle;
determining to reroute the aerial vehicle, from the initial route, along the deviation route to collect image data associated with the geographic area based at least in part on the one or more parameters associated with the aerial vehicle; and
communicating one or more commands to the aerial vehicle to divert the aerial vehicle to travel along the deviation route to the geographic area.