Examples disclosed herein relate, among other things, to a non-transitory machine-readable storage medium encoded with instructions executable by a processor of a computing device to cause the computing device to obtain data from a plurality of sensors of at least a first type and a second type. The instructions may also cause the computing device to determine, for each sensor of the second type, whether the data obtained from the sensor of the second type is reliable based at least on the data obtained from a sensor of the first type that is associated with the sensor of the second type.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computing device to: obtain data from a first sensor, a second set of sensors, and a third set of sensors, wherein the first sensor is characterized by a higher accuracy than the second set of sensors, and wherein the second set of sensors are characterized by a higher accuracy than the third set of sensors; determine reliability of the data obtained from the second set of sensors based on the data obtained from the first sensor; and determine reliability of the data obtained from the third set of sensors based on the data obtained from the second set of sensors. 2. The computing device of claim 1, wherein determining the reliability of the data obtained from the second set of sensors comprises determining whether the data obtained from the second set of sensors is within a predefined range from the data obtained from the first sensor. 3. The computing device of claim 2, wherein each data obtained from the second set of sensors is corrected based on a correction model generated using a neural network. 4. The computing device of claim 1, wherein the computing device is further to: discard any data obtained from the second set of sensors that were determined to be unreliable; and discard any data obtained from the third set of sensors that were determined to be unreliable. 5. The computing device of claim 1, wherein the computing device is further to: adjust, based on the data obtained from the first sensor, any data obtained from the second set of sensors that were determined to be unreliable; and adjust, based on the data obtained from the second set of sensors, any data obtained from the third set of sensors that were determined to be unreliable. 6. The computing device of claim 1, wherein each of the third set of sensors is associated with a subset of sensors from the second set of sensors, and wherein determining reliability of the data obtained from the third set of sensors comprises comparing the data obtained from each sensor in the third set of sensors to the data obtained from the subset of sensors associated with the sensor. 7. The computing device of claim 1, wherein determining reliability of the data obtained from the second set of sensors comprises comparing a difference between each data obtained from the second set of sensor and the first data to a predefined range. 8. The computing device of claim 1, wherein the second set of sensors are disposed within a first predefined distance from the first sensor, and each of the third set of sensors is disposed within a second predefined distance from at least one of the second set of sensors. 9. A method comprising: obtaining data from a first sensor of a first sensor type; obtaining data from a second set of sensors of a second sensor type, wherein the second set of sensors are disposed within a first predefined distance from the first sensor, and wherein the first sensor type is characterized by higher accuracy than the second sensor type; obtaining data from a third set of sensors of a third sensor type, wherein each of the third set of sensors is disposed within a second predefined distance from at least one of the second set of sensors, and wherein the second sensor type is characterized by higher accuracy than the third sensor type; comparing the data obtained from at least one of the second set of sensors to the data obtained from the first sensor to determine whether the data obtained from the at least one of the second set of sensors is reliable; and comparing the data obtained from at least one of the third set of sensors to the data obtained from at least one of the second set of sensors to determine whether the data obtained from the at least one of the third set of sensors is reliable. 10. The method of claim 9, wherein the second set of sensors are disposed substantially equidistantly from each other. 11. The method of claim 9, wherein the data obtained from the first sensor, the second set of sensors, and the third set of sensors are obtained wirelessly. 12. A non-transitory machine-readable storage medium encoded with instructions executable by a processor of a computing device to cause the computing device to: obtain data from a plurality of sensors, wherein the plurality of sensors comprises sensors of at least a first type and a second type, and wherein each sensor of the second type is spatially associated with at least one sensor from the first type; and for each sensor of the second type, determine whether the data obtained from the sensor of the second type is reliable based at least on the data obtained from a sensor of the first type associated with the sensor of the second type, and if the data is determined to be unreliable perform at least one of: discarding the data, modifying the data, resetting the sensor of the second type, and reprogramming the sensor of the second type. 13. The non-transitory machine-readable storage medium of claim 12, wherein determining whether the data obtained from the sensor of the second type is reliable comprises determining whether the data obtained from the sensor of the second type is within a predefined range from the data obtained from a sensor of the first type associated with the sensor of the second type. 14. The non-transitory machine-readable storage medium of claim 12, wherein the determination of whether the data obtained from the sensor of the second type is reliable is based at least on the data obtained from at least two sensors of the first type associated with the sensor of the second type. 15. The non-transitory machine-readable storage medium of claim 12, wherein the determination of whether the data obtained from the sensor of the second type is reliable is further based on a distance between the sensor of the second type and the sensor of the first type associated with the sensor of the second type.