Abstract: A monitor circuit is configured to receive sensor data samples at a first bit rate. The monitor circuit includes a sensor data processing circuit that is coupled to a sensor node and is configured to generate a sensor data characteristic signal for each sensor data sample. The sensor data characteristic signal for a particular sensor data sample indicates a value of a monitored parameter of the particular sensor data sample. The monitor circuit also includes a fault trigger circuit configured to determine, based on the sensor data characteristic signal, whether the sensor data samples satisfy a fault trigger. The monitor circuit further includes a summarization circuit configured to generate a sensor data summary signal based on the sensor data characteristic signal. The sensor data summary signal is provided to a summary output node at a second bit rate that is less than the first bit rate.

Abstract: A system for checking an inertial measurement unit of a vehicle, in particular a land vehicle, during driving includes the inertial measurement unit having: a first acceleration sensor configured to measure a translational acceleration along a first sensor axis and/or a first rate-of-rotation sensor configured to measure a rate of rotation about the first sensor axis and also a second acceleration sensor configured to measure a translational acceleration along a second sensor axis and/or a second rate-of-rotation sensor configured to measure a rate of rotation about the second sensor axis. A sensing device senses a movement of the vehicle in a first vehicle direction and/or about the first vehicle direction. Both the first sensor axis and the second sensor axis are tilted with respect to the first vehicle direction.

Abstract: To more reliably land a flying body at a desired point, a flying body includes a determiner that determines whether the flying body is taking off and ascending from a takeoff point or descending to land, a camera mounted in the flying body, a recorder that records a lower image captured by the camera if it is determined that the flying body is taking off and ascending and a guider that, if it is determined that the flying body is descending to land, guides the flying body to the takeoff point while descending using a lower image recorded in the recorder during takeoff/ascent and a lower image captured during the descent.

Abstract: A system and method for calibration of serial links using serial-to-parallel loopback. Embodiments of the present invention are operable for calibrating serial links using parallel links thereby reducing the number of links that need calibration. The method includes sending serialized data over a serial interface and receiving parallel data via a parallel interface. The serialized data is looped back via the parallel interface. The method further includes comparing the parallel data and the serialized data for a match thereof and calibrating the serial interface by adjusting the sending of the serialized data until the comparing detects the match. The adjusting of the sending is operable to calibrate the sending of the serialized data over the serial interface.

Abstract: 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.

Abstract: A hybrid navigation device includes at least one auxiliary sensor adapted to deliver at least one auxiliary signal and a plurality of hybrid navigation systems, each including at least one inertial navigation system and one calculator configured to form an hybrid signal at the output of each hybrid navigation system. The hybrid navigation device includes a module for the detection of good operating condition and the weighting of the hybrid navigation systems, the module being configured to receive the at least one auxiliary signal, and the hybrid signals of each hybrid navigation system, respectively, to deduce therefrom an indicator of good operating condition and a weighting coefficient for each hybrid navigation system, and to calculate a weighted hybrid signal as a function of the hybrid signals and of the weighting coefficients of each hybrid navigation system, respectively.

Abstract: A method is provided for removing gimbal periodic reorientation (indexing) readout errors in a navigation system having multiple IMUs mounted to a platform. Each IMU has multiple gyroscopes providing attitude outputs. Attitude readout errors bias due to periodic gimbal motions is determined in each IMU along each gyroscope attitude axis. Attitude outputs of the gyroscopes are time-aligned, as necessary. Onset times of indexing of each gyroscope is determined. A difference is formed between gyroscope attitude outputs. Steps in this difference of attitude outputs are assigned to the respective gyroscope causing the step in attitude. Cumulative sums of the steps associated with the respective gyroscopes are formed. The mean and linear trend in the respective cumulative sums are removed from the respective cumulative sums to form the final error correction, corresponding to the time interval associated with the steps.

Abstract: Systems and methods for determining a position of a vehicle are described. The system includes at least one GNSS sensor mounted to the vehicle for receiving GNSS signals of a global positioning system and at least one physical sensor mounted to the vehicle for generating physical data indicative of a physical parameter of at least a part of the vehicle. The system also includes a recursive statistical estimator, such as a Kalman Filter, in communication with the GNSS sensor(s) for seeding the recursive statistical estimator with an output of the GNSS sensor(s) to determine an estimated position of the vehicle. A data fusion module combines the estimated position and velocity of the vehicle with the physical data thus generating combined data, which is used to seed the recursive statistical estimator to determine an updated estimated position of the vehicle.

Abstract: A system vitally determines a position of a train. The system includes a plurality of diverse sensors, such as tachometers and accelerometers, structured to repetitively sense at least change in position and acceleration of the train, a global positioning system sensor, which is diverse from each of the diverse sensors, structured to repetitively sense position of the train, and a track map including a plurality of track segments which may be occupied by the train. A processor cooperates with the diverse sensors, the global positioning system sensor and the track map. The processor includes a routine structured to provide measurement uncertainty for each of the diverse sensors and the global positioning system sensor. The routine cross-checks measurements for the diverse sensors, and cross-checks the global positioning system sensor against the track map. The routine provides the vitally determined position of the train and the uncertainty of the vitally determined position.

Abstract: Adaptive mobile device navigation system, methods, and apparatus provide location information for a mobile device performing location estimation using dead reckoning. Multiple estimation modes can be selected including a mode for restricting measured movements to surrounding streets. Updated location fixes can be obtained through turn comparison with surrounding map information and user feedback. User feedback prompts can include photographs having geographic tag information corresponding to locations near an estimated location of the device.

Abstract: According to a vehicular behavior determination device (100) of the present invention, an angular velocity vector ?(k) which represents an angular velocity around each of 3 axes of a vehicle (1) can be determined in high accuracy on the basis of a temporal variation mode of a posture vector psti(k) (i=x, y, z) which represents a posture of the vehicle (1) in a global coordinate system in an attempt to curtail a manufacture cost and size of the vehicle (1) by avoiding the usage of a 3-axis gyro sensor which is relatively expensive in price and large in size.