Abstract: Some implementations relate to methods, systems, and computer-readable media to display a rigid body object within a virtual environment. In some implementations, the method includes obtaining a model representation of the rigid body object, obtaining a state of the rigid body object in the virtual environment, determining a plurality of constraints that act on the rigid body object, determining a plurality of Jacobians and a plurality of Hessians, wherein each Jacobian of the plurality of Jacobians and each Hessian of the plurality of Hessians is associated with a corresponding constraint of the plurality of constraints, applying a two-stage primal solver to a set of equations of motion for the rigid body object based on the plurality of Jacobians and the plurality of Hessians, and displaying the rigid body object in the updated position in the virtual environment.

Abstract: A system and method for removing a wrinkle adjacent to a joint between a first surface material and a second surface material, different from the first surface material. The system and method may include directing a flow of air creating an air wall across the first surface material adjacent to the joint where the wrinkle is being removed from the second surface material; directing heat onto the wrinkle in the second surface material; and working out the wrinkle from the second surface material while the second surface material is at an elevated temperature.

Abstract: An example method of correcting a defect in a seat comprises the steps of: (a) imaging a seat to obtain an image of the seat, a portion of the seat having a defect; (b) applying a localized boundary around the portion of the seat having the defect within the image of the seat; (c) translating the localized boundary into a seat specific map of a baseline model of the seat such that a portion of the baseline model of the seat that corresponds to the portion of the seat having the defect within the image of the seat is disposed within a translated localized boundary; (d) selecting a predetermined path for an automated device to correct the portion of the seat having the defect based on the portion of the baseline model of the seat; and (e) correcting the portion of the seat having the defect.

Abstract: An example method of correcting a defect in a seat comprises the steps of: (a) imaging a seat to obtain an image of the seat, a portion of the seat having a defect; (b) applying a localized boundary around the portion of the seat having the defect within the image of the seat; (c) translating the localized boundary into a seat specific map of a baseline model of the seat such that a portion of the baseline model of the seat that corresponds to the portion of the seat having the defect within the image of the seat is disposed within a translated localized boundary; (d) selecting a predetermined path for an automated device to correct the portion of the seat having the defect based on the portion of the baseline model of the seat; and (e) correcting the portion of the seat having the defect.

Abstract: A method for analyzing an analog circuit controlled by a plurality of digital inputs is presented. The circuit is represented with a data structure with nodes connected via edges, which represent a circuit component. The data structure can be traversed across all connected nodes; and said digital inputs can be toggled between two or more input states. The method steps include identifying a set of boundary nodes in the data structure which are at a digital-analog boundary of the data structure; for each digital input, identifying associated boundary nodes which are coupled with the digital input; grouping digital inputs into input sets, where each of the different input sets are associated with mutually exclusive sets of associated boundary nodes, and analyzing the circuit by successively analyzing one or more of the input sets for all possible combinations of inputs states within that set.

Abstract: A system and method for removing a wrinkle adjacent to a joint between a first surface material and a second surface material, different from the first surface material. The system and method may include directing a flow of air creating an air wall across the first surface material adjacent to the joint where the wrinkle is being removed from the second surface material; directing heat onto the wrinkle in the second surface material; and working out the wrinkle from the second surface material while the second surface material is at an elevated temperature.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: The invention is directed towards an indicator circuit. The indicator circuit includes a ground plane; an antenna; a decoupler component; and an integrated circuit. The antenna includes at least one antenna trace; a first antenna terminal; and a second antenna terminal. The decoupler component includes a first decoupler component terminal and a second decoupler component terminal. The integrated circuit is electrically coupled to the first antenna terminal and the second antenna terminal. The integrated circuit is electrically coupled to the first decoupler component terminal. The second decoupler component terminal is electrically connected to the ground plane.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Disclosed herein are methods and systems for fusion of sensor and map data using constraint based optimization. In an embodiment, a computer-implemented method may include obtaining tracking data for a tracked subject, the tracking data including data from a dead reckoning sensor; obtaining constraint data for the tracked subject; and using a convex optimization method based on the tracking data and the constraint data to obtain a navigation solution. The navigation solution may be a path and the method may further include propagating the constraint data by a motion model to produce error bounds that continue to constrain the path over time. The propagation of the constraint data may be limited by other sensor data and/or map structural data.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: The invention is directed towards an indicator circuit. The indicator circuit includes a ground plane; an antenna; a decoupler component; and an integrated circuit. The antenna includes at least one antenna trace; a first antenna terminal; and a second antenna terminal. The decoupler component includes a first decoupler component terminal and a second decoupler component terminal. The integrated circuit is electrically coupled to the first antenna terminal and the second antenna terminal. The integrated circuit is electrically coupled to the first decoupler component terminal. The second decoupler component terminal is electrically connected to the ground plane.