Abstract: An exemplary computing device is configured to obtain a first set of control points used to generate a first panoramic image from a first locus point. The computing device is further configured to identify a second set of control points based upon which a second panoramic image is to be generated from a second locus point different from the first locus point. The identifying of the second set of control points is based on the first set of control points that were used to generate the first panoramic image from the first locus point. Based on the second set of control points, the computing device is also configured to generate the second panoramic image from the second locus point. Corresponding methods and systems are also disclosed.

Abstract: Embodiments described herein provide for the leveraging of edge-based resources (e.g., processing, memory, storage, and/or other resources of one or more Multi-Access/Mobile Edge Computing devices (“MECs”), such as MECs associated with a radio access network (“RAN”) of a wireless network) to process data from and/or provide instructions to microcontroller devices, System on Chip (“SoC”) devices, configurable logic boards, Internet of Things (“IoT”) devices, and/or other types of devices or systems. For example, embodiments described herein may provide for the creation and configuration of logical devices or systems based on one or more microcontrollers, SoC devices, etc., edge-based processing of sensor data and/or other types of data received or generated by the microcontrollers, SoC devices, etc., and the generation of instructions to control physical devices communicatively coupled to the microcontrollers, SoC devices, etc.

Abstract: Embodiments described herein provide for the leveraging of edge-based resources (e.g., processing, memory, storage, and/or other resources of one or more Multi-Access/Mobile Edge Computing devices (“MECs”), such as MECs associated with a radio access network (“RAN”) of a wireless network) to process data from and/or provide instructions to microcontroller devices, System on Chip (“SoC”) devices, configurable logic boards, Internet of Things (“IoT”) devices, and/or other types of devices or systems. For example, embodiments described herein may provide for the creation and configuration of logical devices or systems based on one or more microcontrollers, SoC devices, etc., edge-based processing of sensor data and/or other types of data received or generated by the microcontrollers, SoC devices, etc., and the generation of instructions to control physical devices communicatively coupled to the microcontrollers, SoC devices, etc.

Abstract: Embodiments described herein provide for the leveraging of edge-based resources (e.g., processing, memory, storage, and/or other resources of one or more Multi-Access/Mobile Edge Computing devices (“MECs”), such as MECs associated with a radio access network (“RAN”) of a wireless network) to process data from and/or provide instructions to microcontroller devices, System on Chip (“SoC”) devices, configurable logic boards, Internet of Things (“IoT”) devices, and/or other types of devices or systems. For example, embodiments described herein may provide for the creation and configuration of logical devices or systems based on one or more microcontrollers, SoC devices, etc., edge-based processing of sensor data and/or other types of data received or generated by the microcontrollers, SoC devices, etc., and the generation of instructions to control physical devices communicatively coupled to the microcontrollers, SoC devices, etc.

Abstract: Embodiments described herein provide for the leveraging of edge-based resources (e.g., processing, memory, storage, and/or other resources of one or more Multi-Access/Mobile Edge Computing devices (“MECs”), such as MECs associated with a radio access network (“RAN”) of a wireless network) to process data from and/or provide instructions to microcontroller devices, System on Chip (“SoC”) devices, configurable logic boards, Internet of Things (“IoT”) devices, and/or other types of devices or systems. For example, embodiments described herein may provide for the creation and configuration of logical devices or systems based on one or more microcontrollers, SoC devices, etc., edge-based processing of sensor data and/or other types of data received or generated by the microcontrollers, SoC devices, etc., and the generation of instructions to control physical devices communicatively coupled to the microcontrollers, SoC devices, etc.

Abstract: An exemplary computing device is configured to obtain a first set of control points used to generate a first panoramic image from a first locus point. The computing device is further configured to identify a second set of control points based upon which a second panoramic image is to be generated from a second locus point different from the first locus point. The identifying of the second set of control points is based on the first set of control points that were used to generate the first panoramic image from the first locus point. Based on the second set of control points, the computing device is also configured to generate the second panoramic image from the second locus point. Corresponding methods and systems are also disclosed.

Abstract: An exemplary image stitching recovery system detects a failed attempt by an image stitching system to generate a first panoramic image in a target location image set that includes a plurality of panoramic images each depicting a target location from a different respective locus point. The image stitching recovery system identifies a particular locus point at which a second panoramic image within the target location image set has been successfully generated, and identifies, based on a second set of control points that were used by the image stitching system to successfully generate the second panoramic image at the particular locus point, a first set of control points based upon which the first panoramic image is to be successfully generated. Subsequently, the image stitching recovery system directs the image stitching system to generate, based on the first set of control points, the first panoramic image in the target location image set.

Abstract: An exemplary image stitching recovery system detects a failed attempt by an image stitching system to generate a first panoramic image in a target location image set that includes a plurality of panoramic images each depicting a target location from a different respective locus point. The image stitching recovery system identifies a particular locus point at which a second panoramic image within the target location image set has been successfully generated, and identifies, based on a second set of control points that were used by the image stitching system to successfully generate the second panoramic image at the particular locus point, a first set of control points based upon which the first panoramic image is to be successfully generated. Subsequently, the image stitching recovery system directs the image stitching system to generate, based on the first set of control points, the first panoramic image in the target location image set.