Method and apparatus for providing a low-power perception architecture
AssigneeHERE Global B.V.
InventorAnirudh Viswanathan
Life of this patent
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Abstract
An approach is provided for providing a lower-power perception architecture. The approach involves, for example, determining that a device is equipped with a first perception system and a second perception system. The second perception system operates in a lower-power consumption mode than the first perception system to process image data for image recognition. The approach also involves determining a battery level of the device. The approach further involves switching from the first perception system to the second perception system based on determining that the battery level is below a threshold battery level.
Claims20
A computer-implemented method for providing a low-power perception architecture comprising:
- determining that a device is equipped with a first perception system and a second perception system, wherein the second perception system operates in a lower-power consumption mode than the first perception system to process image data for image recognition, and wherein the second perception system comprises a machine learning module trained to recognize objects in the image data;
- determining a battery level of the device;
- and
- switching from the first perception system to the second perception system based on determining that the battery level is below a threshold battery level.
An apparatus for predicting sensor error, comprising:
- at least one processor;
- and
- at least one memory including computer program code for one or more programs,
- the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
- determine that a device is equipped with a first perception system and a second perception system, wherein the second perception system operates in a lower-power consumption mode than the first perception system to process image data for image recognition, and wherein the second perception system comprises a machine learning module trained to recognize objects in the image data;
- determine a battery level of the device;
- and
- switch from the first perception system to the second perception system based on determining that the battery level is below a threshold battery level.
A non-transitory computer-readable storage medium for predicting sensor error, carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:
- determining that a device is equipped with a first perception system and a second perception system, wherein the second perception system operates in a lower-power consumption mode than the first perception system to process image data for image recognition, and wherein the second perception system comprises a machine learning module trained to recognize objects in the image data;
- determining a battery level of the device;
- and
- switching from the first perception system to the second perception system based on determining that the battery level is below a threshold battery level.
Dependencies are inferred from the claim text.