39 results about "Automatic localization" patented technology

This disclosure provides a method and system for automatically recognizing facial expressions at variable resolutions of video. According to one exemplary method, facial expressions are detected, extracted and classified from a video sequence based on an automatic localization of the periocular region associated with a detected and extracted face.

Embodiments include apparatus and methods for automatic generation of object polylines that represent roadside objects at a region of a roadway and automatic localization based on the object polylines. Object polylines are generated based on occupied voxels closest to the roadway of one or more voxel occupancy grids associated with the region of the roadway. The object polylines are stored in a database and associated with the region of the roadway. Sensor data from a user located at the region of the roadway is received. The accessed object polylines and the received sensor data are compared. Based on the comparison, localization of the user located at the region of the roadway is performed.

Apparatus and methods are described for generating geometries for stripe-shaped objects. An image is identified that includes a roadway having one or more stripe-shaped objects. The stripe-shaped objects may include lane lines for road edges or lanes of the roadway. The stripe-shaped objects may include a barrier. At least one targeted region within the image is determined. The at least one targeted region is shaped to intersect the one or more stripe-shaped objects and includes a plurality of pixels. An image analysis is performed on the image to determine when the at least one target region includes a pixel in common with the one or more stripe-shaped objects. A geometry is constructed using the pixel in common. The geometry may be used to update a map or subsequently perform localization.

Embodiments include apparatus and methods for automatic generation of local window-based 2D occupancy grids that represent roadside objects at a region of a roadway and automatic localization based on the 2D occupancy grids. 2D occupancy grids are generated based on an altitude threshold for point cloud data and grid cell occupancy for grid cells of local windows associated with the region of the roadway. The 2D occupancy grids are stored in a database and associated with the region of the roadway. Sensor data from a user located at the region of the roadway is received. The accessed 2D occupancy grids and the received sensor data are compared. Based on the comparison, localization of the user located at the region of the roadway is performed.

In a method to measure characteristic structure sizes of the human brain, which structure sizes can be used as biomarkers for a diagnosis of Alzheimer's, using a magnetic resonance device, manual and / or automatic localization of the hippocampus takes place in a preliminary magnetic resonance acquisition, followed by selection of at least one measurement axis that proceeds through the hippocampus. For each selected measurement axis, magnetic resonance data are acquired for a longitudinal, in particular rod-shaped, acquisition region proceeding along the measurement axis. Determination of the spatially resolved structure sizes is implemented from the magnetic resonance data.

The present disclosure relates to a method and system for identifying and reading a barcode on a circular label. Such method and system, in the embodiment discussed, is concretely addressed to a specific example in the engineering of a barcode reader in an electromechanical system for biological analyzes which uses cone-shaped tubes and corresponding strips of fluid containers. It is a requirement of the system that the right cone matches with the right strip. In order to avoid any human error, barcode reading system is implemented, by placing a barcode (e.g. a 2D barcode) on the cone-shaped tube and a barcode on the strip: however the particular shape of the cone poses some problems in the automatic localization and reading of the barcode on the circular label on top of the cone. An additional difficulty of the present system is that of the inclination of barcode reader with respect to the circular label carrying the code, due to the relative positioning of the various components of the machine which does not allow a straight alignment between the reader and the target. With the method according to a preferred embodiment of the present disclosure the circular label is scanned to detect the 2D barcode and it is then read, with a simplified algorithm requiring limited power and hardware resources.

Embodiments include apparatus and methods for automatic detection of pole-like objects for a location at a region of a roadway and automatic localization based on the detected pole-like objects. Pole-like objects are modeled as cylinders and the models are generated based on detected vertical clusters of point cloud data associated to corresponding regions along the region of the roadway. The modeled pole-like objects are stored in a database and associated with the region of the roadway. Sensor data from a user located at the region of the roadway is received. The pole-like object model is accessed and compared to the received sensor data. Based on the comparison, localization of the user located at the region of the roadway is performed.

Embodiments include apparatus and methods for generating a localization geometry or occupancy grid for a geographic location. Point cloud that describes a vicinity of a pathway is collected by a distance sensor and describing a vicinity of the pathway. The point cloud data is reduced or filtered to a predetermined volume with respect to the roadway. The remaining point cloud data is projected onto a two-dimensional plane including at least one pixel formation. A volumetric grid is defined according to the at least one pixel formation, and a voxel occupancy for each of a voxels forming the volumetric grid is determined. The arrangement of the voxel occupancies or a sequence of data describing the voxel occupancies is a localization geometry that describes the geographic location of the pathway.

Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and / or current raw time series data of the power transmission lines to provide a normalized raw data and / or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and / or current raw time series data to localize the fault based on the normalized raw data and / or feature representation.