Abstract: Provided are methods for controlling loading/unloading of a material (from a load-delivering unit to a load-receiving unit, wherein at least one of the load-delivering unit and the load-receiving unit is a working machine vehicle configured to transport a load of material from a first location to a second location, and wherein at least the load-delivering unit is provided with a control unit configured to control operation of the load-delivering unit. Methods include receiving a first signal indicative of the material associated with the load-delivering unit; receiving a second signal indicative of the material intended to be received by the load-receiving unit; and comparing material information related to the first signal with material information related to the second signal.

Abstract: Techniques for flexible, on-site additive manufacturing of components or portions thereof for transport structures are disclosed. An automated assembly system for a transport structure may include a plurality of automated constructors to assemble the transport structure. In one aspect, the assembly system may span the full vertically integrated production process, from powder production to recycling. At least some of the automated constructors are able to move in an automated fashion between the station under the guidance of a control system. A first of the automated constructors may include a 3-D printer to print at least a portion of a component and to transfer the component to a second one of the automated constructors for installation during the assembly of the transport structure. The automated constructors may also be adapted to perform a variety of different tasks utilizing sensors for enabling machine-learning.

Abstract: According to one or more of the embodiments herein, systems and techniques are provided for accurately determining a round trip time (RTT) to a satellite. In particular, a method according to one embodiment herein may comprise: receiving, at a device, a reference signal with a stable phase; measuring, by the device, a phase delta over time between the reference signal and an internal signal of an internal oscillator of the device; transmitting, by the device at a transmission time, a ranging signal toward a particular satellite; receiving, by the device at a reception time, a return of the ranging signal from the particular satellite; and determining, by the device, a round trip time (RTT) of the ranging signal that accounts for a phase drift of the internal oscillator between the transmission time and the reception time according to the measured phase delta over time.

Abstract: A compound sensor system includes a first sensor, a second sensor, a memory that stores a module, and a processor coupled to the first sensor, the second sensor, and the memory. The first sensor is configured to detect a parameter that indicates a likelihood of having a user enter or leave a target area, and, in response, send a first command signal to the processor. The processor is configured to receive the first command signal from the first sensor and send a second command signal to the second sensor based on receiving the first command signal. The second sensor is configured to operate at a sleep mode and switch to an active mode upon receiving the second command signal, and during the active mode the second sensor is configured to determine if the user enters or leaves the target area.

Abstract: Methods and apparatuses are provided for estimating a path of an aerial vehicle engaged in attacking network devices in a wireless communication network. A distance function corresponding to the aerial vehicle and a boundary node is determined based on an initial coordinate location of the aerial vehicle and an initial coordinate location of the boundary node. A function of jamming power received at the boundary node from the aerial vehicle is determined based at least on the first distance function and a transmission power of the boundary node. The function of jamming power represents a power associated with a jamming signal received from the aerial vehicle at the boundary node. A trajectory of the aerial vehicle at a plurality of time periods is estimated by the boundary node with an extended Kalman filter. The extended Kalman filter is determined based on the function of jamming power.

Abstract: A body-worn tracking device (BWTD) includes a global navigation satellite system (GNSS) device, at least one motion sensor, at least one processor, and at least one memory device. The at least one memory device includes instructions that, when executed by the at least one processor, cause the at least one processor to determine, based on data generated by the at least one motion sensor, a net distance between the last known location of the BWTD and a current location of the BWTD. The instructions further cause the at least one processor to determine, based on the net distance, whether the BWTD is within a bounded area that includes the last known location; and responsive to determining that BWTD is not within the bounded area, output an indication that the BWTD is not within the bounded area.

Abstract: A movement information calculating device includes a positioning sensor, a velocity sensor, an attitude sensor and processing circuitry. The positioning sensor is configured to calculate a position of the positioning sensor on a movable body. The velocity sensor is configured to calculate a velocity of the movable body. The attitude sensor is configured to calculate an attitude of the movable body. The processing circuitry is configured to calculate a center-of-gravity position and a center-of-gravity velocity of the movable body by using the position, the velocity, and the attitude, and calculate one of a turning center position and a pivoting position of the movable body by using the center-of-gravity position and the center-of-gravity velocity.

Abstract: A detected data acquisition unit (21) acquires detected data outputted during a past reference period by a sensor (31) mounted on a moving body (100). A peripheral data acquisition unit (22) acquires peripheral data detected by a peripheral body existing on peripheral of the moving body (100). A failure determination unit (23) determines whether or not there is a failure in the sensor (31) based on whether or not the detected data includes detected data that identifies a detected content of which difference from a peripheral content identified from the peripheral data is within a reference scope.

Abstract: A positioning method and apparatus for a mobile terminal, and a mobile terminal. After a first time period elapses, a main processor obtains M pieces of reliable navigation data from N pieces of buffered navigation data of the mobile terminal, and obtains K pieces of buffered position change data of the mobile terminal. The main processor combines the M pieces of reliable navigation data and the K pieces of position change data, to obtain position information of the mobile terminal in the first time period. The N pieces of navigation data are obtained through calculation by using a satellite navigation signal of the mobile terminal that is received during the first time period. The K pieces of position change data are obtained through calculation by using data that is obtained through monitoring by a sensor of the mobile terminal during the first time period.

Abstract: An embodiment includes a method to increase the efficiency of security checkpoint operations. A security checkpoint kiosk serves as a Relying Party System (RPS). The RPS establishes a secure local connection between the RPS and a User Mobile-Identification-Credential Device (UMD). The RPS sends a user information request to the UMD, via the secure local connection, seeking release of user information associated with a Mobile Identification Credential (MIC). The RPS obtains authentication of the user information received in response to the user information request. The RPS retrieves user travel information based on the user information. The RPS determines that the user travel information matches the user information. When the user travel information matches the user information, the RPS approves the user to proceed past the security checkpoint kiosk.

Abstract: Systems, device configurations and methods are provided for indoor localization for a navigator receiver based on broadband communication signals such as LTE. In one embodiment, an LTE-IMU framework determines receiver position indoors. Two different designs of LTE receivers are provided based on code phase and carrier phase determinations of the received signal. A base/navigator framework is presented to correct unknown clock biases of the LTE eNodeBs. In this framework, the base receiver is placed outdoors, has knowledge of its own position, and makes pseudorange measurements to eNodeBs in the environment whose positions are known. The base transmits these pseudoranges to the indoor navigating receiver, which is also making pseudorange measurements to the same eNodeBs. The navigating receiver differences the base and navigator pseudoranges.

Abstract: A work-vehicle position measurement system includes a reference station and a work vehicle. The reference station is provided at a reference position to measure a measured position of the reference position by receiving a radio wave from a satellite and to transmit reference information including the measured position. The work vehicle includes circuitry configured to obtain a calculated position of the work vehicle based on satellite information from the satellite and the reference information transmitted from the reference station, to control the work vehicle to travel along a predetermined travel route in a work field based on the calculated position of the work vehicle, and to manage map data of the work field to correspond to the reference information of the reference position.

Abstract: A method for compensating for gyroscope drift on an electronic device includes receiving by a data processing unit, measurement data from a gyroscope. The method includes computing, by the data processing unit, a compensation parameter by analyzing the measurement data received from the gyroscope with respect to variations in temperature of the gyroscope. The method includes compensating, by the data processing unit, the measurement data by correcting the measurement data with the computed compensation parameter. The compensation parameter is continuously validated to correct the measurement data with the compensation parameter. Further, the received measurement data is updated continuously based on the computed compensation parameter, independent of the gyroscope on the electronic device, thereby facilitating adaptive drift compensation.

Abstract: A processor calibrates the velocity of a moving object by removing a velocity bias from the velocity of the moving object and calculates a DR solution based on the calibrated velocity of the moving object. In a case where a fixed solution is calculated in positioning calculation, the processor outputs the fixed solution as coordinates of the moving object, whereas in a case where a fixed solution is not calculated, the processor outputs the DR solution based on the calibrated velocity of the moving object as the coordinates of the moving object.

Abstract: Techniques and examples pertaining to vehicle sensor health monitoring are described. A processor of a road-side station may receive first data from a vehicle and receive second data from one or more sensors associated with the road-side station. The processor may compare the first data and the second data. In response to a result of the comparing indicating a difference between the first data and the second data, the processor may generate a report.

Abstract: Provided is an autonomous mobile robotic device that may carry, transport, and deliver one or more items in a work environment to predetermined destinations. The robotic device may comprise a container in which the one or more items may be placed. Once tasks are complete, the robotic device may autonomously navigate to a predetermined location.

Abstract: The present invention relates to a method for estimating the movement of a walking pedestrian (1), the method being characterised in that it comprises the following steps: (a) Acquisition, by inertial-measurement means (20) rigidly connected to a lower limb (10) of said pedestrian (1) and positioned in such a way as to have substantially a movement of rotation with respect to a distal end (11) of said lower limb (10) at least when said distal end (11) of the lower limb (10) is in contact with the ground, of an acceleration and of an angular speed of said lower limb (10); (b) Estimation, by data-processing means (21, 31, 41), of a speed of said lower limb (10) according to said measured acceleration and said measured angular speed.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to estimate path coefficients based on a difference between a vehicle location and a vehicle path. Estimating the path coefficients can include minimizing the difference while controlling path coefficient gain to maintain occupant comfort and safety. A vehicle can be operated based on the estimated path coefficients.

Abstract: A fault isolation and ambiguity resolution system includes one or more analytic engines executable by a processing system and a reasoning system. The one or more analytic engines are operable to detect a fault associated with a monitored system based on data extracted from one or more data repository. The reasoning system includes a single fault isolator operable to identify an ambiguity group including the fault and one or more related faults of the monitored system. The reasoning system also includes an inference system operable to utilize evidence to resolve ambiguity between the fault and the one or more related faults of the ambiguity group as a diagnosis result.

Abstract: In a case where a magnitude of a speed difference vector is smaller than a threshold in a state where a fixed solution is obtained continuously for a first time, a processor outputs a current RTK positioning solution as current coordinates of a moving object. On the other hand, when the magnitude of the speed difference vector is equal to or greater than the threshold in a state where the fixed solution is obtained continuously for the first time, the processor outputs a DR solution as the current coordinates of the moving object.

Abstract: An object is to enable a state of a vehicle to be precisely estimated by a Kalman filter. A navigation system 1 includes an observation unit 21 that observes an observable concerning a variation of the vehicle, based on an output from a sensor, and an estimation unit 22 that estimates a state quantity indicating a state of the vehicle by a Kalman filter, and the estimation unit 22 calculates a prediction value of the state quantity of the vehicle, calculates an error covariance matrix of the prediction value, by the Kalman filter to which an error of the observable is inputted as an error of the state quantity which is in a relation of calculus with the observable, and calculates an estimation value of the state quantity of the vehicle and an error covariance matrix of the estimation value by the Kalman filter, based on the prediction value and the error covariance matrix of the prediction value which are calculated.

Abstract: A navigation method includes steps of: repeatedly emitting, by a wheel speed sensor, a pulse signal to a processor of a vehicle when the vehicle starts to travel from a start point of a route of a map; in response to receipt of a preset number of the pulse signals transmitting, by the processor, the preset number of the pulse signals to a portable device; calculating, by the portable device, a current position of the vehicle on the map based on a distance associated with the preset number of the pulse signals; and transmitting, by the portable device, data of the map having the current position to the processor so as to display the same.

Abstract: The present disclosure discloses a method and apparatus for positioning a vehicle. In some embodiments, the method comprises: acquiring an a priori position of a to-be-positioned vehicle at a current positioning moment determined by performing a strapdown calculation between a previous positioning moment and the current positioning moment; determining a map area for searching in a laser point cloud reflected value map; matching a reflected value characteristic of a projection area generated by projecting a real-time laser point cloud, to obtain a map matching position according to a matching result; positioning, using the a priori position in combination with observation data of a vehicle-mounted global navigation satellite system (GNSS) receiver of the vehicle, to obtain a satellite positioning position; and fusing the a priori position, the map matching position and the satellite positioning position to generate a positioning result of positioning the vehicle at the current moment.

Abstract: The present invention relates to a vehicle control system (1) for controlling a trailer (5) coupled to a vehicle (3) during a reversing operation. The vehicle control system includes a processor (29) configured to determine an actual trailer travel direction (TACT) based on one or more sensor signals. The processor (29) receives a demanded trailer travel direction (TDEM), for example from a user. A maximum permissible hitch angle (?MAX) is calculated by the processor (29) and the demanded trailer travel direction (TDEM) is limited to an angle less than or equal to the calculated maximum permissible hitch angle (?MAX). The present invention also relates to a vehicle (3) incorporating the vehicle control system (1); and a method of controlling the reversing of the trailer (5).

Abstract: An in-vehicle device includes: an acquiring unit that acquires comparison information; and a detecting unit that detects an abnormality in a positioning device based on position information on a host vehicle output from the positioning device mounted in the host vehicle and the comparison information different from the position information.

Abstract: A tracking device broadcasts beacon signals that are separated in time by broadcast intervals. The tracking device determines the broadcast intervals based on a behavior model. The behavior model specifies one or more conditions, such as times of day within a 24-hour day, and associates a usage probability with each condition. A higher usage probability causes the tracking device to broadcast beacon signals at shorter broadcast intervals. A mobile device in communication with the tracking device can reconfigure the behavior model, either by modifying portions of the behavior model or by replacing the behavior model with a different behavior model. This allows the behavior model to adapt to different circumstances, such as different usage patterns during weekdays, weekends, and vacations.

Abstract: A navigation method that includes receiving a satellite navigation signal from a satellite navigation system, determining a position based on the received satellite navigation signal, obtaining quality data indicative of a satellite navigation signal quality as a function of a location information, and correcting the determined position based on the satellite navigation signal quality.

Abstract: A multimode tracking device includes a line of site (LOS) antenna; an LOS modem for communicating with other multimode tracking devices and for measuring power of a received signal; a satellite antenna; a satellite modem for communicating with a satellite for receiving and sending text messages, data and commands to and from external devices including a tracking and locating system; a Bluetooth or WiFi Direct interface for communicating with external mobile devices; an inertia measurement unit for providing motion tracking information; a user interface for interfacing with a user; and a processor for generating and displaying a line of bearing to the target on the display, based on the measured power and the motion tracking information. The multimode tracking device tracks assets and personnel and sends/receives text messages, data and commands to/from external devices both over the horizon via the satellite and locally via the LOS modem.

Abstract: A robot system includes a robot, a control circuit, a first wireless circuit, a second wireless circuit, and a teaching circuit. The first wireless circuit is connected to the control circuit. The teaching circuit is connected to the second wireless circuit to control the robot via the second wireless circuit, the first wireless circuit and the control circuit. The second wireless circuit is configured to transmit a control signal to the first wireless circuit with a first wireless communication scheme using frequency hopping, the robot being configured to be driven or not to be driven according to the control signal, and transmit an information signal to the first wireless circuit with a second wireless communication scheme in which a signal is transmitted in a case where a wireless resource is determined to be available, the information signal relating to driving of the robot.

Abstract: A physical quantity detection circuit includes a physical quantity signal generation circuit that generates a physical quantity signal according to magnitude of a physical quantity based on a detection signal output from a physical quantity detection element, an abnormality determination circuit that determines whether or not the physical quantity detection element is potentially abnormal based on a value of the physical quantity signal and an amount of change of the value of the physical quantity signal, and an abnormality diagnostic circuit that diagnoses whether or not the physical quantity detection element is abnormal if the abnormality determination circuit determines that the physical quantity detection element is potentially abnormal.

Abstract: An opportunistic calibration method continuously monitors a smartphone orientation and compensates for its variation, as necessary. The method relies on the probabilistic fusion of built-in sensors; in particular, the GPS, accelerometer, gyroscope, and magnetometer. The calibration method may utilize a state-machine approach along with an orientation stability detection algorithm to keep track of the smartphone orientation over time and to coordinate the calibration process in an opportunistic manner. An orientation calibration method may rely mainly on the probabilistic fusion of GPS and magnetometer sensory data.

Abstract: A positioning position is corrected more efficiently. A reception control device, comprising: a processor, wherein the processor executes: a reception parameter acquisition process of acquiring reception parameters related to reception of positioning signals from a positioning signal receiver that receives the positioning signals from positioning satellites; a first reception environment determination process of determining a reception environment on the basis of a result of determining the acquired reception parameters in accordance with determination conditions; and a reception control process of controlling an error correction signal receiver that receives an error correction signal for correcting an error of a positioning result by the positioning signals from an error correction satellite on the basis of a determination result in the first reception environment determination process.

Abstract: A method of adaptive weighting adjustment positioning has the following steps: performing an initialization procedure, determining whether a first feature point is detected; when the first feature point is detected, based on multiple positioning methods, multiple positioning information will be generated, and multiple weightings will be set, and then based on the weightings and the positioning information, calculating the positioning information output; by way of adaptive weighting adjustment among the multiple positioning methods, the multiple positioning methods can be integrated. In this way, even if one of the positioning methods is temporarily unavailable, the positioning information can still be calculated by weighting adjustment between the positioning information of the remaining two available methods, and that allows users to continue to obtain accurate positioning information to confirm the current location.

Abstract: Disclosed herein are a method and system for positioning an autonomous vehicle on a navigation map. The method includes positioning the autonomous vehicle on the navigation map, including receiving the navigation map, an approximate position and an approximate orientation of the autonomous vehicle on the navigation map, and an environmental field of view (FOV) of the autonomous vehicle and determining a first road boundary based on the navigation map and the approximate position of the autonomous vehicle, and a second road boundary based on the environmental FOV and the approximate orientation of the autonomous vehicle, further determining at least one of an angular deviation and a lateral deviation between the first road boundary and the second road boundary, and positioning the autonomous vehicle on the navigation map by minimizing at least one the angular deviation and the lateral deviation.

Abstract: A method for determining bias in an inertial measurement unit of an image acquisition device comprises mapping at least one reference point within an image frame into a 3D spherical space based on a lens projection model for the image acquisition device to provide a respective anchor point in 3D space for each reference point.

Abstract: An electronic device determines an estimate of angular position based on an accelerometric signal supplied by an accelerometric sensor and as a function of at least one of a gyroscopic signal from a gyroscopic sensor and a magnetic signal from a magnetic-field sensor. A processing module implements a complementary filter, which is provided with a first processing block, a second processing block, and a combination block. The first processing block receives the acceleration signal and an input signal indicative of the magnetic signal and generates a geomagnetic quaternion. The second processing block receives a signal indicative of the gyroscopic signal (gyro) and generates a gyroscopic quaternion. The combination block determines the estimate ({circumflex over (q)}) of angular position by complementarily combining the geomagnetic quaternion and the gyroscopic quaternion based on a combination factor that has a dynamic value and an adaptive value and that varies as a function of the operating conditions.

Abstract: A method for determining the position of a vehicle, including: determination of a GNS vehicle position by a GNS unit, sensor acquisition of a surrounding environment of the GNS vehicle position by a radar sensor unit of the vehicle in order to ascertain radar data corresponding to the acquired surrounding environment, detection of objects situated in the surrounding environment based on the radar data, ascertaining of a direction vector that points from a detected object to a reference point fixed to the vehicle, comparison of the radar data and the ascertained direction vector to a digital map that has objects and direction vectors assigned to the objects, the direction vectors assigned to the objects pointing to a position in the digital map from which the corresponding object was acquired by a radar sensor unit, and ascertaining of a corrected vehicle position based on the GNS vehicle position and the comparison.

Abstract: System and methods may evaluate and/or improve target aiming accuracy for a sensor of an Unmanned Aerial Vehicle (“UAV”). According to some embodiments, a position and orientation measuring unit may measure a position and orientation associated with the sensor. A pose estimation platform may execute a first order calculation using the measured position and orientation as the actual position and orientation to create a first order model. A geometry evaluation platform may receive planned sensor position and orientation from a targeting goal data store and calculate a standard deviation for a target aiming error utilizing: (i) location and geometry information associated with the industrial asset, (ii) a known relationship between the sensor and a center-of-gravity of the UAV, (iii) the first order model as a transfer function, and (iv) an assumption that the position and orientation of the sensor have Gaussian-distributed noises with zero mean and a pre-determined standard deviation.

Abstract: A method is described for determining a position of a two-wheeled vehicle. The single-track vehicle has a vehicle path yaw rate when driving along curves and a yaw rate according to the inclined orientation which differs from the vehicle path yaw rate. An inclined orientation of the single-track vehicle and a speed of the single-track vehicle are measured. The vehicle path yaw rate of the single-track vehicle is determined from the measured inclined orientation and the measured speed. A device for carrying out the method is also described.

Abstract: A vehicle to vehicle communication device including a satellite vehicle signal reception means for suppressing a decrease in relative position accuracy with a small communication amount during a unit time, a communication means, a kinematic acquisition means, a positioning means, a first vehicle information storage means, a second vehicle information storage means configured to record satellite vehicle information and the velocity vector of the second vehicle in each time, a relative position calculation means configured to calculate a relative position from the velocity vector of the first vehicle, the velocity vector of the second vehicle, and the satellite vehicle information, a requested satellite vehicle number generation means configured to generate a requested satellite vehicle number notifying the second vehicle of a satellite vehicle number observed by the first vehicle, and a transmitting satellite vehicle information generation means configured to generate information to be sequentially transmitted

Abstract: A method and apparatus for using unique landmarks to position industrial vehicles during start-up. In one embodiment, a method of using pre-positioned objects as landmarks to operate an industrial vehicle is provided. The method comprises identifying a start-up scenario from sensor data, wherein the start-up scenario comprises a unique marker start-up or a pre-positioned object start-up. in response to the identified start-up scenario, either a unique marker or pre-positioned object is identified within a physical environment, wherein the pre-positioned object or unique marker corresponds with a sub-area of the physical environment. The industrial vehicle pose is determined in response to the identity of the pre-positioned object or unique marker and the industrial vehicle is operated based on the determined industrial vehicle pose.

Abstract: Provided is a portable electronic device including a transceiver configured to acquire information from a roadside device, a storage, and a controller configured to acquire position information of the roadside device based on the information acquired by transceiver, and to cause the storage to store the acquired position information as position information of the portable electronic device at a time of acquiring the information.

Abstract: Systems and methods providing statistical analytics of golf performance for coaching including text, tabular, graphic, and image-based outputs that include trends information for the golfer, all based upon actual golf play on course situations, wherein the golfer inputs shot data during play, without interrupting the flow of the game, and uploads the shot data for analytics and review online, and wherein all information related to a given user are reviewable by an authorized coach user through a web-based coach access account. The system is further operable to provide the coach user rights for providing corrective or instructive feedback to the user, including visual recommendations such as modified target areas.

Abstract: A navigation system that utilizes yaw rate constraint during inertial dead reckoning is provided. The system accumulates relative yaw measurements to produce dead reckoning mechanization update values. The system corrects for z axis drift errors.

Abstract: A method for determining a loading recommendation for a vehicle. The method involves object dimensions of objects with which the vehicle needs to be loaded being determined automatically using an optical capture apparatus, and an arrangement of the objects in a cargo space of the vehicle being determined on the basis of the object dimensions of the objects and a cargo space dimension of the cargo space. The arrangement of the objects in the cargo space is output as a loading recommendation.

Abstract: Described is a system for trajectory estimation of a mobile platform, such as a UAV. In operation, the system generates an initial trajectory estimate for the mobile platform which is stored in a trajectory buffer as a buffered trajectory. Images captured at a location are compared with a location recognition database to generate a location label for a current location to designate the current location as a new location or a revisited location. If the location is a revisited location, the system determines if trajectory correction is required. If so, the buffered trajectory is corrected to generate a corrected trajectory as the drift-free trajectory. Finally, the drift-free trajectory can be used in a variety of applications. For example, the drift-free trajectory can be used to cause the mobile platform to traverse a path that coincides with the drift-free trajectory.

Abstract: Controlling machine pose using sensor fusion includes receiving from each of a plurality of Inertial Measurement Units mounted on different components, a time series of signals indicative of acceleration and angular rate of motion for each of the components of the machine, and from at least one non-IMU sensor, a signal indicative of at least one of position, velocity, or acceleration of at least one of the components, a position, velocity, or acceleration of any potential obstacles or other features, or an operator input. The signals are fused with a separate Kalman filter module to estimate an output joint angle.

Abstract: In an embodiment, a method and system are provided for determining a pedestrian position via dead reckoning on a portable device carried by the pedestrian (or “user”). The device has at least a processor, a 3D accelerometer, and a 3D gyroscope. The 3D accelerometer, and a 3D gyroscope are sampled to calculate device orientation, and then 3D accelerometer samples are gathered during a sensor time frame and an average step frequency is calculated. The user's speed and direction of movement are estimated and a device velocity is calculated relative to a prior device velocity via dead-reckoning. The estimated device velocity is corrected for drift and the pedestrian position is calculated based on the corrected estimated current device velocity.

Abstract: A device implementing an adaptive positioning system may include at least one processor that is configured to concurrently implement a first positioning system that generates first positioning information items and a second positioning system that generates second positioning information items. The processor may be configured to buffer the second positioning information items generated by the second positioning system and to determine a position estimation for the device based on the first positioning information items generated by the first positioning system. The processor may be configured to detect a degradation in a quality of the first positioning system. The processor may be configured to, in response to detecting the degradation in the quality of the first positioning system, determine the position estimation for the device based at least in part on at least one of the buffered second positioning information items generated by the second positioning system.

Abstract: Systems and methods to calibrate a gyroscope based on a motion of a predetermined characteristic. Data representing gyro sensor signals during a period of time is stored. A portion of the time period is identified, during which portion the gyroscope is subjected to a motion of the predetermined characteristic. Using the stored data the gyro signals are integrated with respect to time to calculate orientation of the gyroscope as a function of time. Deviation of a characteristic of the orientation of the gyroscope as the function of time during the portion of time period for the motion of the predetermined characteristic is determined to identify a component of bias in the gyro signals. The bias component is removed from the data to re-calculate the gyroscope orientation, and possible to further calculate the deviation in the re-calculated orientation and to identify a further bias component in the gyro signals.