An angle of arrival (AoA) of an electromagnetic wave is determined. A phase of an antenna signal associated with each of two receive antenna is measured. A measured phase difference of arrival (PDoA) of the electromagnetic wave is determined based on the measured phase of each of the antenna signals. The measured PDoA is corrected based on one or more crosstalk factors associated with the two receive antennas. The AoA of the electromagnetic wave at the two receive antenna is generated based on the corrected measured PDoA.

A method for automatically determining exposure settings for an image acquisition system comprises maintaining a plurality of look-up tables, each look-up table being associated with a corresponding light condition and storing image exposure settings associated with corresponding distance values between a subject and the image acquisition system. An image of a subject is acquired from a camera module; and a light condition occurring during the acquisition is determined based on the acquired image. A distance between the subject and the camera module during the acquisition is calculated. The method then determines whether a correction of the image exposure settings for the camera module is required based on the calculated distance and the determined light condition; and responsive to correction being required: selects image exposure settings corresponding to the calculated distance from the look-up table corresponding to the determined light condition; and acquires a new image using the selected image exposure settings.

A method for automatically determining exposure settings for an image acquisition system comprises maintaining a plurality of look-up tables, each look-up table being associated with a corresponding light condition and storing image exposure settings associated with corresponding distance values between a subject and the image acquisition system. An image of a subject is acquired from a camera module; and a light condition occurring during the acquisition is determined based on the acquired image. A distance between the subject and the camera module during the acquisition is calculated. The method then determines whether a correction of the image exposure settings for the camera module is required based on the calculated distance and the determined light condition; and responsive to correction being required: selects image exposure settings corresponding to the calculated distance from the look-up table corresponding to the determined light condition; and acquires a new image using the selected image exposure settings.

A sensor unit includes a sensor device, a holder that holds the sensor device and includes a surface maintained at a reference potential, and a case that houses the holder, in which the case includes a mounting surface in contact with a mounting object, and the mounting surface is provided with a communication portion that causes an inside and an outside of the case to communicate with each other, and the holder includes a protrusion that protrudes from the communication portion and comes in contact with the mounting object.

A method for identifying an inventory item is provided. The method includes using first one or more sensors to produce first one or more outputs indicative of an inventory item, using second one or more sensors to produce second one or more outputs indicative of the inventory item, generating, based on the first one or more outputs and independent of the second one or more outputs, a first confidence level of the inventory item being a first inventory item, generating, based on the second one or more outputs and independent of the first one or more outputs, a second confidence level of the inventory item being a second inventory item, and identifying, based on the first confidence level and the second confidence level, the inventory item as one of the first inventory item or the second inventory item.

A method for identifying an inventory item is provided. The method includes using first one or more sensors to produce first one or more outputs indicative of an inventory item, using second one or more sensors to produce second one or more outputs indicative of the inventory item, generating, based on the first one or more outputs and independent of the second one or more outputs, a first confidence level of the inventory item being a first inventory item, generating, based on the second one or more outputs and independent of the first one or more outputs, a second confidence level of the inventory item being a second inventory item, and identifying, based on the first confidence level and the second confidence level, the inventory item as one of the first inventory item or the second inventory item.

Methods and devices for estimating position of a device within a 3D environment are described. Embodiments of the methods include sequentially receiving multiple image segments forming an image representing a field of view (FOV) comprising a portion of the environment. The image includes multiple sparse points that are identifiable based in part on a corresponding subset of image segments of the multiple image segments. The method also includes sequentially identifying one or more sparse points of the multiple sparse points when each subset of image segments corresponding to the one or more sparse points is received and estimating a position of the device in the environment based on the identified the one or more sparse points.

Methods and devices for estimating position of a device within a 3D environment are described. Embodiments of the methods include sequentially receiving multiple image segments forming an image representing a field of view (FOV) comprising a portion of the environment. The image includes multiple sparse points that are identifiable based in part on a corresponding subset of image segments of the multiple image segments. The method also includes sequentially identifying one or more sparse points of the multiple sparse points when each subset of image segments corresponding to the one or more sparse points is received and estimating a position of the device in the environment based on the identified the one or more sparse points.

A method and an apparatus for focusing are disclosed. The method includes: determining a switch of imaging mode from a first imaging mode to a second imaging mode, wherein a position of an image of a target object in the first imaging mode is different from a position of an image of the target object in the second imaging mode; estimating the position of the image of the target object in the second imaging mode according to a resolution in the first imaging mode, a resolution in the second imaging mode, a field of view in the first imaging mode, a field of view in the second imaging mode and the position of the image of the target object in the first imaging mode; and searching for the image of the target object in the second imaging mode according to the estimated position.

A method and an apparatus for focusing are disclosed. The method includes: determining a switch of imaging mode from a first imaging mode to a second imaging mode, wherein a position of an image of a target object in the first imaging mode is different from a position of an image of the target object in the second imaging mode; estimating the position of the image of the target object in the second imaging mode according to a resolution in the first imaging mode, a resolution in the second imaging mode, a field of view in the first imaging mode, a field of view in the second imaging mode and the position of the image of the target object in the first imaging mode; and searching for the image of the target object in the second imaging mode according to the estimated position.