Abstract: A rapid detection method for the geometric accuracy of the linear motion axis of an NC machine tool, uses accelerometers to measure the acceleration perpendicular to the direction of motion when the linear motion axis moves at a uniform speed. Firstly, the measuring device is mounted on the linear motion axis, and the upper measurement system automatically performs multi-channel acquisition and storage of the motion point acceleration data. Then, filter the acceleration data at the different speeds. Finally, the displacement data is obtained by quadratic integration of the filtered acceleration data in the time domain. Then calculate the straightness of the linear motion axis using the End Point Fit method, and complete the rapid measurement of the straightness of the linear motion axis of the machine tool. This can realize the rapid measurement of the geometric accuracy of the linear motion axis of the machine tool.

Abstract: Where a mobile computer device having a position sensor, such as a GPS sensor, and an accelerometer is configured to estimate a geographic position of the mobile computer device using the position sensor, the accuracy of such positions may be enhanced by correlating accelerations of the mobile computer device, as determined by the accelerometer, against the positions of known surface features within a vicinity of the estimated positions. If the observed accelerations are consistent with one of the known surface features, the location of the mobile computer device may be correlated with the location of the one of the known surface features.

Abstract: A method for determining a yaw angle estimate or vehicle heading direction is presented. A potential range of yaw angles is generated based on a plurality of primary telematics data. One or more yaw angle estimates are generated from the potential range of yaw angles. A driving pattern is determined based on at least one of the yaw angle estimates. The primary telematics data is a plurality of telematics data originated from a client computing device. The effects of gravity have been removed from the plurality of telematics data in a first primary movement window.

Abstract: A tilt sensing apparatus, a system and a method detect the tilt of a vehicle using tilt sensing devices mounted to the vehicle. An accelerometer and a gyroscope provide orientation data to a processor. The processor calculates the tilt of the vehicle and provides an audible indication and/or a visual indication to an operator of the vehicle via a communications module. The communications module has a display panel accessible to the operator for receiving the tilt information. The system provides tilt information for different amounts of tilt of the vehicle. The method of detecting the tilt of the vehicle accumulates position data from the accelerometer and the gyroscope to provide tilt indications to the operator. The apparatus, system and method compare a tilt angle to preset values and generate corresponding output signals to the operator if the preset values are exceeded. The system disables a power take-off connected to the vehicle in the event of a tilt condition in which the vehicle may roll over.

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 method and apparatus in a vehicular telemetry system for determining accelerometer thresholds based upon decoding a vehicle identification number (VIN).

Abstract: The present invention pertains to a mobile terminal having an autonomous navigation function, said mobile terminal comprising: a map application which performs map matching on the current position of the mobile terminal on a route to a destination; a measurement unit which detects the movement of the mobile terminal, and which provides sensor information representing the number of steps and travel direction; a position calculation unit which determines the current position of the mobile terminal; a travel direction correction unit which, when it has been estimated that a user is walking straight by determining whether the amount of change of the user's travel direction is within a prescribed range in a prescribed period, corrects the user's travel direction according to the orientation of the straight parts when the user is walking straight on the route; and a current position correction unit which, on the basis of the corrected travel direction and the starting time and starting point when walking straight,

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: An electronic navigation device for a human user may include a housing to be carried by the human user, and at least one accelerometer carried by the housing and configured to sense acceleration during motion of the human user. The electronic navigation device may also include a controller carried by the housing and coupled to the at least one accelerometer. The controller may be configured to generate a plurality of acceleration sample values as the human user moves over a given distance, and determine an estimated distance traveled by the human user during movement over the given distance by at least multiplying each acceleration sample value by a scaling constant. The controller may also be configured to sum results thereof.

Abstract: A system for detecting an error in an inertial measurement unit (IMU) is disclosed. The system may have a first IMU including a first plurality of accelerometers and a first rotational rate measurer. The first plurality of accelerometers may be configured to measure acceleration along a plurality of first axes, a first axis of the plurality of first axes being substantially collinear with a collinear axis. The first rotational rate measurer may be configured to measure a first rotational rate about a second axis of the plurality of first axes that is substantially perpendicular to the collinear axis. The system may also have a second IMU and an IMU error detector. The IMU error detector may be configured to receive measurement data from the first IMU and the second IMU; and detect an error based on the measurement data.

Abstract: A device comprising a processor that detects an autonomously sensed change in a vehicle's operational state from an initial state characterized by a sensed vehicle speed equal to about 0; to an immediately succeeding vehicle state characterized by sensed vehicle speed being greater than about 0 and, verification from a reverse operating mode sensor that longitudinal vehicle speed is in a reverse direction; and presumptively signals the thusly detected change of vehicle operational state as an instance of reverse operation of the associated vehicle.

Abstract: A navigation apparatus includes: a section that calculates a mobile object's acceleration in the direction of the motion, based on the mobile object's speed calculated from information received from a satellite; a section that calculates lateral acceleration whose direction is perpendicular to the mobile object's motion, based on the mobile object's speed and direction calculated from information received from the satellite; an acceleration sensor that observes motion acceleration of the mobile object and gravity acceleration; a section that calculates an altitude difference of road based on an atmospheric pressure value supplied from a barometric sensor; a section that calculates an inclination angle of the road in the direction of the motion, based on the altitude difference and a travel distance corresponding to the mobile object's speed; and a section that calculates an attachment angle of the acceleration sensor with respect to the mobile object by using a multidimensional function formula.

Abstract: In one embodiment, a technique for determining a position of a user inside of a structure is disclosed. Acceleration and orientation data is captured by an inertial motion unit (IMU) affixed to the user. Range data is captured by one or more range finders affixed to the user. An estimate of the user's relative displacement is produced based on the acceleration and orientation data captured by the IMU. A cloud of particles is generated within a model of the structure based on the estimated relative displacement. One or more particle filters are applied to the cloud of particles to eliminate any particles of the cloud of particles that violate physical constraints and to eliminate any particles of the cloud of particles that are inconsistent with the range data. Then a statistical function is applied to the cloud of particles to determine a calculated position of the user.

Abstract: A map building system, method and computer readable media thereof are provided, which are applied to a movable apparatus or which with a server apparatus. The system includes at least two distance sensing units, a inertial sensing unit, a parameter processing unit, and a display unit. The distance sensing units detect a distance between the movable device and at least one obstacle object and create at least two range data. The inertial sensing unit detects moving mode of the movable device and creates at least one moving data. The parameter processing unit calculates an area map data according the range data and the moving data. The area map data is shown on the display unit.

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: The navigation system described here utilizes GPS and Galileo satellite signals combined with Inertial Navigation Systems (INS), where a Coupled Antenna (CAN) provides both GNSS and Inertial Measurement Unit (IMU) data to a Highly Integrated GNSS-Inertial (Hi-Gi) receiver. Such receiver makes use of a high fidelity relation between GNSS unprocessed Correlator Output (COUT) I and Q data and the user trajectory, and inertial sensor data, which in turn are combined within a Kalman Filter (KF). The KF determines the navigation solution that is also used to provide feedback to the receiver demodulation signal processing stage, thus eliminating the need of dedicated structures such as Delayed Locked Loops (DLL) and Phase Locked Loops (PLL), allowing a significant improvement in navigation performance.

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: Methods and systems for identifying a spatial relationship between a frame of reference associated with an accelerometer mounted in a vehicle and a frame of reference associated with the vehicle Accelerometer data is received from an accelerometer and vehicle data is received from a vehicle network of the vehicle, a long term average of the accelerometer data is used to determine the direction of gravity in the frame of reference of the vehicle. In addition the vehicle date is used to determine changes in speed of the vehicle, and thus to determine the direction of the longitudinal axis of the vehicle in the frame of reference of the vehicle. From these determined directions, the spatial relationship between the frames of reference may be determined.

Abstract: An inertial system measures the attitude of an aircraft consisting at least in determining the angle of pitch and/or the angle of heading and/or the angle of roll of the aircraft, each of the said angles of attitude being determined by successive double integration of their second derivative. A pair of accelerometers to determine the angle of pitch being are disposed on either side of the centre of gravity along an axis substantially merged with the longitudinal axis of the aircraft. A pair of accelerometers to determine the angle of heading are disposed on either side of the centre of gravity along an axis substantially merged with the transverse axis of the aircraft. A pair of accelerometers to determine the angle of roll are disposed on either side of the centre of gravity along a vertical axis perpendicular to the plane formed by the other axes.

Abstract: An inertial system is provided. The system includes at least one inertial sensor, a processing unit and a plurality of Kalman filters implemented in the processing unit. The Kalman filters receive information from the at least one inertial sensor. At most one of the plurality of Kalman filters has processed zero velocity updates on the last cycle.

Abstract: A method of operation of a navigation system includes: detecting an acceleration for monitoring a movement of a device; determining a travel state based on the acceleration; identifying a travel sequence involving the travel state; setting a lane-level granularity movement as a predetermined sequence of the travel state; and determining the lane-level granularity movement with the travel sequence matching the predetermined sequence for displaying on the device.