Three-dimensional sensor acuity recovery assistance
A computing device includes: a three-dimensional (3D) sensor configured to capture point cloud data from a field of view (FOV); an auxiliary sensor configured to capture reference depth measurements corresponding to a surface within the FOV; a controller connected with the 3D sensor and the auxiliary sensor, the controller configured to: detect a reference depth capture condition; when the reference depth capture condition satisfies a quality criterion, control the auxiliary sensor to capture a reference depth corresponding to the surface within the FOV; and initiate, based on the captured reference depth, generation of corrective data for use at the 3D sensor to capture the point cloud data.
1. A computing device, comprising:
a three-dimensional (3D) sensor configured to capture point cloud data from a field of view (FOV);
an auxiliary sensor configured to capture reference depth measurements corresponding to a surface within the FOV;
a motion sensor;
a controller connected with the 3D sensor and the auxiliary sensor, the controller configured to:
detect a reference depth capture condition;
when the reference depth capture condition satisfies a quality criterion, wherein the quality criterion includes a target orientation:
(a) control the auxiliary sensor to capture a reference depth corresponding to the surface within the FOV, and
(b) initiate, based on the captured reference depth, generation of corrective data for use at the 3D sensor to capture the point cloud data;
wherein:
the controller, in order to detect the reference depth capture condition, obtains a device orientation from the motion sensor.
2. The computing device of claim 1 , wherein the 3D sensor includes a stereo camera; and wherein the auxiliary sensor includes a range finder.
3. The computing device of claim 1 , wherein the auxiliary sensor has a field of view overlapping with the FOV of the 3D sensor.
4. The computing device of claim 1 , wherein the target orientation places an FOV of the auxiliary sensor substantially orthogonal to the surface.
5. The computing device of claim 1 , wherein the reference depth capture condition includes an initial depth measurement; and wherein the quality criterion includes upper and lower depth thresholds.
6. The computing device of claim 1 , wherein the controller is further configured to:
detect a characteristic of the surface; and
apply an adjustment to the reference depth prior to initiation of the corrective data generation, based on the detected surface characteristic.
7. The computing device of claim 6 , wherein the surface characteristic includes at least one of color and reflectance.
8. The computing device of claim 1 , wherein the controller is further configured, prior to detection of the reference depth capture condition, to:
monitor a device condition; and
determine that the device condition indicates an excursion.
9. The computing device of claim 8 , wherein the device condition includes at least one of an indication of device motion, power status, and temperature.
10. The computing device of claim 1 , wherein the controller is further configured, responsive to initiating generation of the corrective data, to monitor a device condition and interrupt the generation of corrective data if the device condition indicates an excursion.
11. A method, comprising:
detecting a reference depth capture condition, detecting the reference capture condition includes obtaining a device orientation from a motion sensor of a computing device;
when the reference depth capture condition satisfies a quality criterion, wherein the quality criterion includes a target orientation:
(a) controlling an auxiliary sensor of the computing device to capture a reference depth corresponding to a surface within an FOV of a three-dimensional (3D) sensor of the computing device, and
(b) initiating, based on the captured reference depth, generation of corrective data for use at the 3D sensor to capture point cloud data; and
when the reference depth capture condition does not satisfy the quality criterion, detecting a new reference depth capture condition.
12. The method of claim 11 , wherein the 3D sensor includes a stereo camera; and wherein the auxiliary sensor includes a range finder.
13. The method of claim 11 , wherein the auxiliary sensor has a field of view overlapping with the FOV of the 3D sensor.
14. The method of claim 11 , wherein the target orientation places an FOV of the auxiliary sensor substantially orthogonal to the surface.
15. The method of claim 11 , wherein the reference depth capture condition includes an initial depth measurement; and wherein the quality criterion includes upper and lower depth thresholds.
16. The method of claim 11 , further comprising:
detecting, before initiating generation of corrective data for use at the 3D sensor to capture point cloud data, a characteristic of the surface; and
applying an adjustment to the reference depth prior to initiation of the corrective data generation, based on the detected surface characteristic.
17. The method of claim 16 , wherein the surface characteristic includes at least one of color and reflectance.
18. The method of claim 11 , further comprising, prior to detection of the reference depth capture condition:
monitoring a device condition; and
determining that the device condition indicates an excursion.
19. The method of claim 18 , wherein the device condition includes at least one of an indication of device motion, power status, and temperature.
20. The method of claim 11 , further comprising, responsive to initiating generation of the corrective data: monitoring a device condition and interrupting the generation of corrective data if the device condition indicates an excursion.
21. The method of claim 11 , further comprising:
controlling, after detecting a reference depth capture condition, an output device to present operator feedback associated with the detected reference depth capture condition.