Abstract: Systems and techniques for determining a list of geographic location candidates from an image of an environment are described. Open source data indicative of the earth's surface may be obtained and combined into grids to create region data to gain a representation of the earth's surface within each grid cell. An image of an environment may be obtained from an unknown camera. Image characteristics may be compared to the region data to determine error between the image characteristics and projections of the region data. A list of lowest error geographic location candidates may be determined and provided to the user.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: Systems and methods for determining a geographic location of an environment from an image including an annotation on a mobile device without GPS, with no network access, and with no access to peripheral devices or media is described. Open source data indicative of the earth's surface may be obtained and combined into grids or regions. Elevation data may be used to create skyline models at grid points on the surface. An image of an environment may be obtained from a camera on a mobile device. The user of the mobile device may trace a skyline of the environment depicted in the image. The annotation may be used to create reduced regions for edge detection analysis. The edge detection analysis may detect the skyline. The detected skyline may be compared to the skyline models to determine a most likely location of the user.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: Systems and methods for determining a geographic location of an environment from an image including an annotation on a mobile device without GPS, with no network access, and with no access to peripheral devices or media is described. Open source data indicative of the earth's surface may be obtained and combined into grids or regions. Elevation data may be used to create skyline models at grid points on the surface. An image of an environment may be obtained from a camera on a mobile device. The user of the mobile device may trace a skyline of the environment depicted in the image. The annotation may be used to create reduced regions for edge detection analysis. The edge detection analysis may detect the skyline. The detected skyline may be compared to the skyline models to determine a most likely location of the user.

Abstract: Methods and media for determining a list of geographic location candidates from an image of an environment are described. Open-source data indicative of the Earth's surface may be obtained and compared with images obtained from online sources. The images may be automatically analyzed using a plurality of modular convolution neural networks to determined probabilities of interest, environment, and if the image is locatable. Further, the resulting images may be analyzed for skyline and ridgeline depth orders and Region of Interest. A geolocation depicted in the image may be determined by comparing the results of the analysis with global geographic data.

Abstract: Methods and media for determining a list of geographic location candidates from an image of an environment are described. Open-source data indicative of the Earth's surface may be obtained and compared with images obtained from online sources. The images may be automatically analyzed using a plurality of modular convolution neural networks to determined probabilities of interest, environment, and if the image is locatable. Further, the resulting images may be analyzed for skyline and ridgeline depth orders and Region of Interest. A geolocation depicted in the image may be determined by comparing the results of the analysis with global geographic data.

Abstract: Methods and media for determining a list of geographic location candidates from an image of an environment are described. Open-source data indicative of the Earth's surface may be obtained and compared with images obtained from online sources. The images may be automatically analyzed using a plurality of modular convolution neural networks to determined probabilities of interest, environment, and if the image is locatable. Further, the resulting images may be analyzed for skyline and ridgeline depth orders and Region of Interest. A geolocation depicted in the image may be determined by comparing the results of the analysis with global geographic data.

Abstract: Systems and techniques for determining a list of geographic location candidates from an image of an environment are described. Open source data indicative of the earth's surface may be obtained and combined into grids to create region data to gain a representation of the earth's surface within each grid cell. An image of an environment may be obtained from an unknown camera. Image characteristics may be compared to the region data to determine error between the image characteristics and projections of the region data. A list of lowest error geographic location candidates may be determined and provided to the user.

Abstract: Systems and methods for determining a geographic location of an environment from an image including an annotation on a mobile device without GPS, with no network access, and with no access to peripheral devices or media is described. Open source data indicative of the earth's surface may be obtained and combined into grids or regions. Elevation data may be used to create skyline models at grid points on the surface. An image of an environment may be obtained from a camera on a mobile device. The user of the mobile device may trace a skyline of the environment depicted in the image. The annotation may be used to create reduced regions for edge detection analysis. The edge detection analysis may detect the skyline. The detected skyline may be compared to the skyline models to determine a most likely location of the user.

Abstract: Systems and techniques for determining a list of geographic location candidates from an image of an environment are described. Open source data indicative of the earth's surface may be obtained and combined into grids to create region data to gain a representation of the earth's surface within each grid cell. An image of an environment may be obtained from an unknown camera. Image characteristics may be compared to the region data to determine error between the image characteristics and projections of the region data. A list of lowest error geographic location candidates may be determined and provided to the user.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: Systems and techniques for determining a list of geographic location candidates from an image of an environment are described. Open source data indicative of the earth's surface may be obtained and combined into grids to create region data to gain a representation of the earth's surface within each grid cell. An image of an environment may be obtained from an unknown camera. Image characteristics may be compared to the region data to determine error between the image characteristics and projections of the region data. A list of lowest error geographic location candidates may be determined and provided to the user.

Abstract: Systems and methods for determining a geographic location of an environment from an image including an annotation on a mobile device without GPS, with no network access, and with no access to peripheral devices or media is described. Open source data indictive of the earth's surface may be obtained and combined into grids or regions. Elevation data may be used to create skyline models at grid points on the surface. An image of an environment may be obtained from a camera on a mobile device. The user of the mobile device may trace a skyline of the environment depicted in the image. The annotation may be used to create reduced regions for edge detection analysis. The edge detection analysis may detect the skyline. The detected skyline may be compared to the skyline models to determine a most likely location of the user.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: The implementation of smart materials (shape-memory alloys (SMA) or piezoceramics) as integral actuating devices for single degree-of-freedom (DOF) hinges, thereby providing mobility as well as actuation to a wide range of mechanisms used in industrial, automotive and aircraft systems. A single DOF hinge is used in which smart materials are used both for actuation and for performance enhancement. The hinge consists of a tang and clevis, two conical inserts, one push block, one bolt and nut, and two washers. Assembly takes place by first putting the push block inside the clevis and putting the tang in place, then inserting the cones, inserting a bolt in the cones and finally tightening the bolt in this arrangement together with the nut to a specified torque. The amount of torque applied is related to the amount of preload in the undisturbed configuration of the hinge and the expansion of the conical inserts required to initiate rotation of the hinge.

Abstract: The present invention relates to a clamping arrangement for hollow objects, whereby the clamping arrangement is equipped with one or more clamping bodies distributed circumferentially to facilitate the transfer of a lateral force and/or torque applied to the clamping arrangement to a hollow object or vice versa.