System and Methods for Drone-Based Vehicle Status Determination
US-2018096541-A1 · Apr 5, 2018 · US
US11455895B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11455895-B2 |
| Application number | US-202016987336-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 6, 2020 |
| Priority date | Oct 28, 2019 |
| Publication date | Sep 27, 2022 |
| Grant date | Sep 27, 2022 |
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Described herein are systems for roof scan using an unmanned aerial vehicle. For example, some methods include capturing, using an unmanned aerial vehicle, an overview image of a roof of a building from above the roof; presenting a suggested bounding polygon overlaid on the overview image to a user; determining a bounding polygon based on the suggested bounding polygon and user edits; based on the bounding polygon, determining a flight path including a sequence of poses of the unmanned aerial vehicle with respective fields of view at a fixed height that collectively cover the bounding polygon; fly the unmanned aerial vehicle to a sequence of scan poses with horizontal positions matching respective poses of the flight path and vertical positions determined to maintain a consistent distance above the roof; and scanning the roof from the sequence of scan poses to generate a three-dimensional map of the roof.
Opening claim text (preview).
What is claimed is: 1. An unmanned aerial vehicle comprising: a propulsion mechanism, one or more image sensors, and a processing apparatus, wherein the processing apparatus is configured to: capture, using the one or more image sensors, an overview image of a roof of a building from a first pose of the unmanned aerial vehicle positioned above the roof; present a graphical representation of a suggested bounding polygon overlaid on the overview image to a user, wherein the suggested bounding polygon includes vertices corresponding to respective vertex icons of the graphical representation that enable the user to move the vertices within a plane; determine a bounding polygon based on the suggested bounding polygon and data encoding user edits of one or more of the vertices of the suggested bounding polygon; and determine a flight path based on the bounding polygon, wherein the flight path includes a sequence of poses of the unmanned aerial vehicle with respective fields of view at a fixed height that collectively cover the bounding polygon. 2. The unmanned aerial vehicle of claim 1 , wherein the processing apparatus is configured to: control the propulsion mechanism to cause the unmanned aerial vehicle to fly to assume a sequence of scan poses with horizontal positions matching respective poses of the flight path and vertical positions determined to maintain a consistent distance above the roof; and scan the roof from the sequence of scan poses to generate a three-dimensional map of the roof. 3. The unmanned aerial vehicle of claim 1 , wherein the processing apparatus is configured to: present a graphical representation of the unmanned aerial vehicle overlaid on the overview image, wherein the graphical representation of the unmanned aerial vehicle corresponds to a current horizontal position of the unmanned aerial vehicle. 4. The unmanned aerial vehicle of claim 2 , wherein the graphical representation of the unmanned aerial vehicle includes a three-dimensional rendering of the unmanned aerial vehicle. 5. The unmanned aerial vehicle of claim 2 , wherein the processing apparatus is configured to: present indications of progress along the flight path overlaid on the overview image. 6. The unmanned aerial vehicle of claim 1 , wherein the processing apparatus is configured to: determine the flight path based on one or more scan parameters presented for selection by the user, including one or more parameters from a set of parameters including a grid size, a nominal height above a surface of the roof, and a top flight speed. 7. The unmanned aerial vehicle of claim 1 , wherein the flight path is determined as a lawn-mower pattern. 8. The unmanned aerial vehicle of claim 1 , wherein the one or more image sensors are configured to support stereoscopic imaging to provide range data, and wherein the processing apparatus is configured to: scan the roof using the one or more image sensors to generate the three-dimensional map of the roof. 9. The unmanned aerial vehicle of claim 7 , wherein the roof is scanned to generate the three-dimensional map from a distance greater than a consistent distance later used for facet imaging. 10. The unmanned aerial vehicle of claim 1 , comprising a radar sensor configured to provide range data, and wherein the processing apparatus is configured to: scan the roof using the radar sensor to generate the three-dimensional map of the roof. 11. The unmanned aerial vehicle of claim 1 , comprising a lidar sensor configured to provide range data, and wherein the processing apparatus is configured to: scan the roof using the lidar sensor to generate the three-dimensional map of the roof. 12. The unmanned aerial vehicle of claim 1 , wherein the processing apparatus is configured to: detect, while flying between poses in the sequence of scan poses, an obstacle, wherein the detection is performed based on images captured using the one or more image sensors; and dynamically adjust a pose of the flight path to avoid the obstacle. 13. The unmanned aerial vehicle of claim 1 , wherein the processing apparatus is configured to: store a scan state indicating a next pose of the sequence of poses of the flight path; control the propulsion mechanism to cause the unmanned aerial vehicle to fly to a landing spot and land the unmanned aerial vehicle; after landing, control the propulsion mechanism to cause the unmanned aerial vehicle to take off from the landing spot; access the scan state; and based on the scan state, control the propulsion mechanism to cause the unmanned aerial vehicle to fly to assume a pose in the sequence of scan poses corresponding to the next pose and continue scanning the roof to generate the three-dimensional map. 14. A method comprising: capturing, using one or more image sensors of an unmanned aerial vehicle, an overview image of a roof of a building from a first pose of the unmanned aerial vehicle positioned above the roof; presenting a graphical representation of a suggested bounding polygon overlaid on the overview image to a user, wherein the suggested bounding polygon includes vertices corresponding to respective vertex icons of the graphical representation that enable the user to move the vertices within a plane; accessing data encoding user edits of one or more of the vertices of the suggested bounding polygon; determining a bounding polygon based on the suggested bounding polygon and the data encoding user edits; determining a flight path based on the bounding polygon, wherein the flight path includes a sequence of poses of the unmanned aerial vehicle with respective fields of view at a fixed height that collectively cover the bounding polygon; controlling a propulsion mechanism to cause the unmanned aerial vehicle to fly to assume a sequence of scan poses with horizontal positions matching respective poses of the flight path and vertical positions determined to maintain a consistent distance above the roof; and scanning the roof from the sequence of scan poses to generate a three-dimensional map of the roof. 15. The method of claim 14 , comprising: presenting a graphical representation of the unmanned aerial vehicle overlaid on the overview image, wherein the graphical representation of the unmanned aerial vehicle corresponds to a current horizontal position of the unmanned aerial vehicle. 16. The method of claim 14 , comprising: determining the flight path based on one or more scan parameters presented for selection by the user, including one or more parameters from a set of parameters including a grid size, a nominal height above a surface of the roof, and a top flight speed. 17. The method of claim 14 , wherein the flight path is determined as a lawn-mower pattern. 18. The method of claim 14 , comprising: detecting, while flying between poses in the sequence of scan poses, an obstacle, wherein the detection is performed based on images captured using the one or more image sensors; and dynamically adjusting a pose of the flight path to avoid the obstacle. 19. The method of claim 14 , comprising: storing a scan state indicating a next pose of the sequence of poses of the flight path; controlling the propulsion mechanism to cause the unmanned aerial vehicle to fly to a landing spot and land the unmanned aerial vehicle; after landing, controlling the propulsion mechanism to cause the unmanned aerial vehicle to take off from the landing spot; accessing the scan state; and based on the scan state, controlling the propulsion mechanism to cause the u
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by matching two-dimensional images to three-dimensional objects · CPC title
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