Abstract:
Systems and methods are disclosed for detecting when a magnetic anomaly may impact the quality of data being output by a magnetometer. A plurality of detection algorithms may be performed in parallel on the sensor data. Further, indication of a anomaly from one or a combination of the detection algorithms may cause the magnetometer data to have a reduced contribution in any sensor fusion operation or may be omitted from a sensor fusion operation as desired.
Abstract:
This disclosure provides techniques for guiding a user through a calibration operation of a mobile device having a motion sensor. The user may receive one or more visual cues to aid the user in positioning the device in one or more desired orientations or patterns of motion. The visual cues may be with respect to a virtual three dimensional environment that is responsive to a determined orientation of the device.
Abstract:
Systems and methods are disclosed for calibrating a sensor. A recursive least squares estimation may be performed to update a mean and a covariance matrix for samples of data from a motion sensor and a bias estimate for the motion sensor may be derived from the mean and covariance matrix. The motion sensor may be an gyroscope, an accelerometer or a magnetometer.
Abstract:
Systems and methods are disclosed for detecting when a magnetic anomaly may impact the quality of data being output by a magnetometer. A plurality of detection algorithms may be performed in parallel on the sensor data. Further, indication of a anomaly from one or a combination of the detection algorithms may cause the magnetometer data to have a reduced contribution in any sensor fusion operation or may be omitted from a sensor fusion operation as desired.
Abstract:
Systems and methods are disclosed for storing a plurality of images with a portable device. Inertial sensor data from a sensor assembly associated with the portable device may be obtained as each image is captured, allowing determination of a motion of the portable device for each image. Each captured image and the corresponding determined motion of the portable device are stored.
Abstract:
Systems and methods are disclosed for calibrating a sensor. A recursive least squares estimation may be performed to update a mean and a covariance matrix for samples of data from a motion sensor and a bias estimate for the motion sensor may be derived from the mean and covariance matrix. The motion sensor may be an gyroscope, an accelerometer or a magnetometer.
Abstract:
Systems and methods are disclosed for predicting a future orientation of a device. A future motion sensor sample may be predicted using a plurality of motion sensor samples for the device up to a current time. After determining the current orientation of the device, the predicted motion sensor sample may be used to predict a future orientation of the device at one or more times.