Abstract:
An apparatus of a wireless communication system includes: a transceiver configured to receive and transmit information wirelessly; and a processor communicatively coupled to the transceiver and configured to access an image captured by an access terminal of the wireless communication system, a position of the access terminal, and multiple keypoints and a geographical location of each respective keypoint, each geographical location being a location near the position of the access terminal; and determine a magnetic deviation corresponding to the position of the access terminal by calculating a compass bearing and a true bearing to a feature within the image using the position of the access terminal and the geographical location of a keypoint, from the multiple keypoints, determined as corresponding to the feature.
Abstract:
Disclosed are a system, apparatus, and method for depth and color camera image synchronization. Depth and color camera input images are received or otherwise obtained unsynchronized and without associated creation timestamps. An image of one type is compared with an image of a different type to determine a match for synchronization. Matches may be determined according to edge detection or depth coordinate detection. When a match is determined a synchronized pair is formed for processing within an augmented reality output. Optionally the synchronized pair may be transformed to improve the match between the image pair.
Abstract:
Systems, methods, and devices are described for capturing compact representations of three-dimensional objects suitable for offline object detection, and storing the compact representations as object representation in a database. One embodiment may include capturing frames of a scene, identifying points of interest from different key frames of the scene, using the points of interest to create associated three-dimensional key points, and storing key points associated with the object as an object representation in an object detection database.
Abstract:
A mobile station determines its orientation using an image of an object produced by the mobile station and a top view of that object obtained from an online server. The mobile station image is analyzed to identify lines on the object and to determine the direction of the lines with respect to the mobile station. The top view image, which may be a satellite image, is also analyzed to identify lines on the object that correspond to the lines identified in the mobile station image. The direction of the lines in the top view image are compared to the direction of lines in the mobile station image and based on their relative orientation the orientation of the mobile station may be determined. For example, the difference between the preliminary and corrected orientations may be stored as a calibration factor and used to correct subsequent orientation measurements from orientation sensors.
Abstract:
An improved wireless split rendering system for displaying Extended Reality (XR) content is discussed. A rendering server and client head-mounted device (HMD) may communicate over a wireless medium, where communication control is given to a server application layer logic. This allows the server to use request pose information from the HMD only when needed for rendering, while preserving bandwidth on the wireless medium for transmitting frames of the rendered content. This reduces contention and improves channel efficiency.
Abstract:
A method substantially simultaneously plans a path and maps an environment by a robot. The method determines a mean of an occupancy level for a location in a map. The method also includes determining a probability distribution function (PDF) of the occupancy level. The method further includes calculating a cost function based on the PDF. Finally, the method includes simultaneously planning the path and mapping the environment based on the cost function.
Abstract:
The noise in an image having text is removed by convolving a shaped kernel centered on a pixel for each pixel in the image. The shaped kernel has a shape configured to identify pixels that are not part of the text. For example, the shaped kernel may be shaped with zeros in a center of the kernel to identify pixels that are not part of the text. A value for the pixel is set to erase the pixel when the resulting convolution value for the pixel is less than a threshold. The process may be repeated multiple times for differently shaped kernels, including kernels of different sizes and different configurations, such as having values greater than one in at least one of a row, column, and diagonal.
Abstract:
A method of providing magnetic deviation corresponding to positions in a wireless communication system includes receiving a request wirelessly for a magnetic deviation corresponding to a position of an access terminal, the request including the position of the access terminal; retrieving the magnetic deviation corresponding to the position of the access terminal from a repository; and transmitting wirelessly the magnetic deviation corresponding to the position of the access terminal to the access terminal.
Abstract:
In one embodiment, the present invention comprises a vocoder having at least one input and at least one output, an encoder comprising a filter having at least one input operably connected to the input of the vocoder and at least one output, a decoder comprising a synthesizer having at least one input operably connected to the at least one output of the encoder, and at least one output operably connected to the at least one output of the vocoder, wherein the encoder comprises a memory and the encoder is adapted to execute instructions stored in the memory comprising classifying speech segments and encoding speech segments, and the decoder comprises a memory and the decoder is adapted to execute instructions stored in the memory comprising time-warping a residual speech signal to an expanded or compressed version of the residual speech signal.
Abstract:
A method of calculating a most likely map based on batch data includes gathering a corpus of sensor measurements indexed by a location of a sensor throughout an environment to be mapped. The method also includes determining, after gathering the corpus of sensor measurements, a most likely occupancy level of each voxel of multiple voxels of the environment in accordance with the corpus of sensor measurements and a stochastic sensor model. The method further includes calculating the most likely map based on the determined most likely occupancy level.