An electronic device that is configured to receive synchronization signals transmitted from each of a plurality of devices, select at least one synchronization signal from among the synchronization signals to perform a synchronization process based on a determination that the electronic device is moving toward a location at which at least one of the synchronization signals is not available, and perform the synchronization process based on the selected synchronization signal.

An electronic device that is configured to receive synchronization signals transmitted from each of a plurality of devices, select at least one synchronization signal from among the synchronization signals to perform a synchronization process based on a determination that the electronic device is moving toward a location at which at least one of the synchronization signals is not available, and perform the synchronization process based on the selected synchronization signal.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

Systems, methods, and devices for managing privacy policies are disclosed. In one embodiment, a method for management of a user's privacy preferences may include: identifying a computer application installed on a user electronic device, or a website accessed using a browser executed by the user electronic device; retrieving a privacy policy document analysis for a privacy policy document associated with the computer application or the website, the privacy policy document analysis comprising a valuation of a plurality of privacy policy segments within the privacy policy document; receiving a privacy preference analysis for the user, the privacy preference analysis comprising a valuation of a plurality of privacy preferences for the user; identifying a recommended action in response to the valuation of one of the privacy policy segments being outside the scope of the valuation of one of the plurality of privacy preferences; and executing the recommended action.

A harvester selectively harvests edible crowns ready for harvesting. The harvester may include an imaging system for capturing image(s) of the edible crowns and a de-leafing component that removes leaves of the broccoli plant. For example, broccoli plants typically have an abundance of leaves that reside beneath, alongside of, and even above the edible crowns. The leaves may conceal the edible crowns and impact a quality of the image(s). The de-leafing component may be positioned in front of the imaging system, relative to a direction of travel of the harvester, to remove the leaves and isolate or expose the edible crown. Therein, the imaging system may image the edible crowns for use in determining whether the edible crowns are ready for harvesting.

A harvester selectively harvests edible crowns ready for harvesting. The harvester may include an imaging system for capturing image(s) of the edible crowns and a de-leafing component that removes leaves of the broccoli plant. For example, broccoli plants typically have an abundance of leaves that reside beneath, alongside of, and even above the edible crowns. The leaves may conceal the edible crowns and impact a quality of the image(s). The de-leafing component may be positioned in front of the imaging system, relative to a direction of travel of the harvester, to remove the leaves and isolate or expose the edible crown. Therein, the imaging system may image the edible crowns for use in determining whether the edible crowns are ready for harvesting.

Methods and systems are provided for navigating a mobile platform in an environment. A processor obtains information about an object in the environment, obtains information about a first satellite, and estimates a probability indicator for a non-line of sight signal transmission between a current satellite location of the first satellite and a current location of the mobile platform using the information about the first satellite and the information about the object. The processor further determines a discrepancy indicator using a movement information of the mobile platform and a movement information of the first satellite such that a weighting indicator can be determined using the estimated probability indicator and the determined discrepancy indicator. The processor then assigns a weighting indicator to a satellite signal transmitted from the first satellite in order to provide a first weighted signal for navigating the mobile platform.

Methods and systems are provided for navigating a mobile platform in an environment. A processor obtains information about an object in the environment, obtains information about a first satellite, and estimates a probability indicator for a non-line of sight signal transmission between a current satellite location of the first satellite and a current location of the mobile platform using the information about the first satellite and the information about the object. The processor further determines a discrepancy indicator using a movement information of the mobile platform and a movement information of the first satellite such that a weighting indicator can be determined using the estimated probability indicator and the determined discrepancy indicator. The processor then assigns a weighting indicator to a satellite signal transmitted from the first satellite in order to provide a first weighted signal for navigating the mobile platform.

Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.