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Detection, Estimation, and Modulation Theory

A modular intelligent transportation system, comprising an environmentally protected enclosure, a system communications bus, a processor module, communicating with said bus, having a image data input and an audio input, the processor module analyzing the image data and/or audio input for data patterns represented therein, having at least one available option slot, a power supply, and a communication link for external communications, in which at least one available option slot can be occupied by a wireless local area network access point, having a communications path between said communications link and said wireless access point, or other modular components.

Modular intelligent transportation system

A method and system for modeling and processing vehicular traffic data and information, comprising: (a) transforming a spatial representation of a road network into a network of spatially interdependent and interrelated oriented road sections, for forming an oriented road section network; (b) acquiring a variety of the vehicular traffic data and information associated with the oriented road section network, from a variety of sources; (c) prioritizing, filtering, and controlling, the vehicular traffic data and information acquired from each of the variety of sources; (d) calculating a mean normalized travel time (NTT) value for each oriented road section of said oriented road section network using the prioritized, filtered, and controlled, vehicular traffic data and information associated with each source, for forming a partial current vehicular traffic situation picture associated with each source; (e) fusing the partial current traffic situation picture associated with each source, for generating a single complete current vehicular traffic situation picture associated with entire oriented road section network; (f) predicting a future complete vehicular traffic situation picture associated with the entire oriented road section network; and (g) using the current vehicular traffic situation picture and the future vehicular traffic situation picture for providing a variety of vehicular traffic related service applications to end users.

Method and system for modeling and processing vehicular traffic data and information and applying thereof

Apparatus, systems, and methods are provided for substantially continuous biometric identification (CBID) of an individual using eye signals in real time. The apparatus is included within a wearable computing device with identification of the device wearer based on iris recognition within one or more cameras directed at one or both eyes, and/or other physiological, anatomical and/or behavioral measures. Verification of device user identity can be used to enable or disable the display of secure information. Identity verification can also be included within information that is transmitted from the device in order to determine appropriate security measures by remote processing units. The apparatus may be incorporated within wearable computing that performs other functions including vision correction, head-mounted display, viewing the surrounding environment using scene camera(s), recording audio data via a microphone, and/or other sensing equipment.

Systems and methods for discerning eye signals and continuous biometric identification

Systems and techniques to implement augmented virtual environments. In one implementation, the technique includes: generating a three dimensional (3D) model of an environment from range sensor information representing a height field for the environment, tracking orientation information of image sensors in the environment with respect to the 3D model in real-time, projecting real-time video from the image sensors onto the 3D model based on the tracked orientation information, and visualizing the 3D model with the projected real-time video. Generating the 3D model can involve parametric fitting of geometric primitives to the range sensor information. The technique can also include: identifying in real time a region in motion with respect to a background image in real-time video, the background image being a single distribution background dynamically modeled from a time average of the real-time video, and placing a surface that corresponds to the moving region in the 3D model.

Augmented virtual environments

An automated method is for making a topographical model of an area including terrain and buildings thereon based upon randomly spaced data of elevation versus position. The method may include processing the randomly spaced data to generate gridded data of elevation versus position conforming to a predetermined position grid, processing the gridded data to distinguish building data from terrain data, and performing polygon extraction for the building data to make the topographical model of the area including terrain and buildings thereon.

Automated method for making a topographical model and related system

A method and system for creating three-dimensional models in a graphics texture mapping system and are for creating three-dimensional urban models. A computer includes a graphics application program and an application programming interface. A single rectangular, composite building texture map is formed for each of a plurality of three-dimensional objects corresponding to individual buildings and have a reduced area of pixels within each composite building texture map as caused by rotating individual images.

Texture mapping system used for creating three-dimensional urban models

Method includes calculating a mean z coordinate value for points within the point cloud. An initial set of points is selected which have z coordinate values which deviate from the mean by at least an initial value. Thereafter, a triangulated irregular network (TIN) is constructed using the initial set of points. The method continues by determining if there is a significant point that exists among the points contained within an x, y extent of each triangle. If so, the TIN is updated to include the initial set of points and any significant points determined to exist within the triangles that form the TIN. Thereafter, the method continues by repeating the determining and the updating steps until there are no additional significant points found within the triangles.

Accuracy-based significant point derivation from dense 3D point clouds for terrain modeling

A method and system for fingerprint template synthesis from multiple fingerprint images is provided. A first set of minutiae points is extracted from a first fingerprint image. A second set of minutiae points is extracted from a second fingerprint image. The orientation is calculated for a plurality of minutiae points selected from the first set of minutiae points based on the first fingerprint image. Simulated points are added to the first set of minutiae points, wherein simulated points are created based on the location and orientation of minutiae points in the plurality of minutiae points. The first set of minutiae points and the second set of minutiae points are registered and the first set of minutiae points and the second set of minutiae points are combined.

A method for fingerprint template synthesis and fingerprint mosaicing using a point matching algorithm

A computer implemented method is for processing an original digital elevation model (DEM) including data for terrain (52) and a plurality of objects (54, 56) thereon. The method includes generating a lower-resolution DEM (104) from the original DEM (102), and generating an objects-only DEM (108) based upon a comparison of the lower-resolution DEM (104) and the original DEM (102). The method further includes reducing noise in the objects-only DEM (114, 116).

Mark Rahmes

Papers

Automated method for making a topographical model and related system

Texture mapping system used for creating three-dimensional urban models

Accuracy-based significant point derivation from dense 3D point clouds for terrain modeling

A method for fingerprint template synthesis and fingerprint mosaicing using a point matching algorithm

Method and apparatus for enhancing a digital elevation model (dem) for topographical modeling