Abstract: The present disclosure provides a switching matrix system and an operating method thereof for semiconductor characteristic measurement. The switching matrix system is configured to: detect an assembly of at least one switching matrix module inserted into a plurality of slots of the switching matrix system; determine a user interface according to the assembly of the at least one switching matrix module inserted into the slots, wherein the user interface includes an operable object corresponding to the assembly; and provide the user interface.

Abstract: The technology relates to navigating imagery that is organized into clusters based on common patterns exhibited when imagery is captured. For example, a set of captured images which satisfy a predetermined pattern may be determined. The images in the set of set of captured images may be grouped into one or more clusters according to the predetermined pattern. A request to display a first cluster of the one or more clusters may be received and, in response, a first captured image from the requested first cluster may be selected. The selected first captured image may then be displayed.

Abstract: The technology relates to navigating imagery that is organized into clusters based on common patterns exhibited when imagery is captured. For example, a set of captured images which satisfy a predetermined pattern may be determined. The images in the set of set of captured images may be grouped into one or more clusters according to the predetermined pattern. A request to display a first cluster of the one or more clusters may be received and, in response, a first captured image from the requested first cluster may be selected. The selected first captured image may then be displayed.

Abstract: The technology relates to navigating imagery that is organized into clusters based on common patterns exhibited when imagery is captured. For example, a set of captured images which satisfy a predetermined pattern may be determined. The images in the set of set of captured images may be grouped into one or more clusters according to the predetermined pattern. A request to display a first cluster of the one or more clusters may be received and, in response, a first captured image from the requested first cluster may be selected. The selected first captured image may then be displayed.

Abstract: The technology relates to navigating imagery that is organized into clusters based on common patterns exhibited when imagery is captured. For example, a set of captured images which satisfy a predetermined pattern may be determined. The images in the set of set of captured images may be grouped into one or more clusters according to the predetermined pattern. A request to display a first cluster of the one or more clusters may be received and, in response, a first captured image from the requested first cluster may be selected. The selected first captured image may then be displayed.

Abstract: Systems and methods for image-based bridge identification and boundary detection are provided. One example method includes determining, by one or more computing devices, a wide bridge mask and a narrow bridge mask based at least in part on a road mask and a water mask. The method includes selecting, by the one or more computing devices, a portion of an image depicting a bridge based at least in part on the wide bridge mask and the narrow bridge mask. The method includes identifying, by the one or more computing devices, a plurality of line features included in the portion of the image depicting the bridge. The method includes determining, by the one or more computing devices, a bridge boundary in the portion of the image based at least in part on the plurality of line features. One example system includes a bridge image extraction module and a bridge boundary determination module.

Abstract: Systems and methods for image-based bridge identification and boundary detection are provided. One example method includes determining, by one or more computing devices, a wide bridge mask and a narrow bridge mask based at least in part on a road mask and a water mask. The method includes selecting, by the one or more computing devices, a portion of an image depicting a bridge based at least in part on the wide bridge mask and the narrow bridge mask. The method includes identifying, by the one or more computing devices, a plurality of line features included in the portion of the image depicting the bridge. The method includes determining, by the one or more computing devices, a bridge boundary in the portion of the image based at least in part on the plurality of line features. One example system includes a bridge image extraction module and a bridge boundary determination module.