Patent application number | Description | Published |
20130311133 | METHOD FOR STEP DETECTION AND GAIT DIRECTION ESTIMATION - A method for detecting a human's steps and estimating the horizontal translation direction and scaling of the resulting motion relative to an inertial sensor is described. When a pedestrian takes a sequence of steps the displacement can be decomposed into a sequence of rotations and translations over each step. A translation is the change in the location of pedestrian's center of mass and a rotation is the change along z-axis of the pedestrian's orientation. A translation can be described by a vector and a rotation by an angle. | 11-21-2013 |
20130311134 | METHOD FOR STEP DETECTION AND GAIT DIRECTION ESTIMATION - A method for detecting a human's steps and estimating the horizontal translation direction and scaling of the resulting motion relative to an inertial sensor is described. When a pedestrian takes a sequence of steps the displacement can be decomposed into a sequence of rotations and translations over each step. A translation is the change in the location of pedestrian's center of mass and a rotation is the change along z-axis of the pedestrian's orientation. A translation can be described by a vector and a rotation by an angle. | 11-21-2013 |
20130331121 | WI-FI ENHANCED TRACKING ALGORITHMS - Disclosed herein is the use of Wi-Fi based location estimates of a mobile device to provide global offset corrections (including automated initialization) and enhanced navigation accuracy through delivery of heading corrections. In an embodiment, dead reckoning tracking data may be received for a tracked subject. The tracking data includes a plurality of tracking points forming a tracking path of the tracked subject. A Wi-Fi position system location estimate is also obtained. The Wi-Fi position system location estimate is one of a plurality of Wi-Fi position system location estimates correlated to the dead reckoning tracking data. And a tracking related parameter is determined based on the correlation of the dead reckoning tracking data to the Wi-Fi position system location estimate. | 12-12-2013 |
20130332064 | SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING INERTIAL SENSOR INFORMATION - A system and method for recognizing features for location correction in Simultaneous Localization And Mapping operations, thus facilitating longer duration navigation, is provided. The system may detect features from magnetic, inertial, GPS, light sensors, and/or other sensors that can be associated with a location and recognized when revisited. Feature detection may be implemented on a generally portable tracking system, which may facilitate the use of higher sample rate data for more precise localization of features, improved tracking when network communications are unavailable, and improved ability of the tracking system to act as a smart standalone positioning system to provide rich input to higher level navigation algorithms/systems. The system may detect a transition from structured (such as indoors, in caves, etc.) to unstructured (such as outdoor) environments and from pedestrian motion to travel in a vehicle. The system may include an integrated self-tracking unit that can localize and self-correct such localizations. | 12-12-2013 |
20130332065 | Fusion Of Sensor And Map Data Using A Contraint Based Optimization - 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. | 12-12-2013 |
20130332106 | METHODS RESOLVING THE ELEVATION OF A TRACKED PERSONNEL OR ASSETS - 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. | 12-12-2013 |
20140278060 | COLLABORATIVE CREATION OF INDOOR MAPS - 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. | 09-18-2014 |
20140278080 | METHOD TO SCALE INERTIAL LOCATION DATA USING DIRECTIONAL AND/OR SCALE CONFIDENCE CONSTRAINTS - Methods, systems, and computer readable storage media are presented for directional scaling of inertial path data to satisfy ranging constraints. The presented techniques take into account scaling confidence information. In addition to bounding potential scale corrections based on the reliability of the inertial path and the magnetic heading confidence, the techniques bound potential scale parameters based on constraints and solve for directional scale parameters. | 09-18-2014 |