Abstract: Methods and systems are provided for increasing EGR delivered to an engine. In one example, a method may include determining an EVO timing set point and an external EGR setpoint in parallel, based on an inverse model. The EVO timing may be adjusted based on a combination of the EVO timing setpoint and an EGR cylinder balancing feedback loop, thereby varying internal EGR to the engine to supplement external EGR.

Abstract: A remote operation terminal is provided with: a terminal-side control device configured so as to be capable of communicating with a control device, the terminal-side control device being a control unit for controlling the actuation of the remote operation terminal; a suspended load movement operation tool, which is a first operation unit for remotely operating a crane device; and a reference change operation tool, which is a second operation unit for setting an operation direction reference of the suspended load movement operation tool in relation to a vehicle direction reference of a crane. The terminal-side control device calculates the actuation direction of the crane device in relation to the operation of the suspended load movement operation tool, on the basis of a setting value of the reference change operation tool, and transmits the actuation direction to the control device.

Abstract: The present invention relates to a method for estimating the movement of an object (1) moving in an environment (?) and an ambient magnetic field, the method being characterised in that it includes the steps of: (a) Acquisition: by inertial measurement means (24) fixed with respect to said object (1), of at least one component of an acceleration and/or an angular velocity of the object (1), designated inertial datum; by magnetic measurement means (20) fixed with respect to said object (1), of at least one component of the magnetic field and/or an i-th derivative of the magnetic field, at the magnetic measurement means (20), designated magnetic datum; by optical acquisition means (26) fixed with respect to said object (1), of consecutive images of the environment (?), designated vision datum; (b) Estimation by the data processing means (21, 31, 41) of at least one component of the movement of said object (1) using the inertial datum, as well as the magnetic datum and/or the vision datum.

Abstract: A device implementing a system for estimating device location includes at least one processor configured to receive a first and second set of signals at a sampling interval, each set corresponding to location data. For each sampling period defined by the sampling interval, the at least one processor is configured to obtain first sensor data corresponding to device motion during the sampling period, obtain second sensor data corresponding to atmospheric pressure sampled at a beginning and end of the sampling period, calculate a change in altitude based on a difference in the atmospheric pressure at the beginning and end of the sampling period, and estimate a device state based on the first sensor data and change in altitude.

Abstract: A positioning apparatus includes: a reference device configured to provide a measured current motion angle of a vehicle; an inertial sensor configured to provide a current input angular rate of the vehicle and associated with at least one inertial sensor behavior parameter dependent on inertial sensor temperature; a temperature sensor configured to provide an input temperature variation of the inertial sensor on a time interval; and a digital estimator configured to recursively computing an estimated current motion angle of the vehicle and at least one previously estimated inertial sensor behavior parameter as function of: the measured current motion angle, a previously estimated motion angle, the current input angular rate, and the input temperature variation.

Abstract: A control system for a work vehicle includes a controller, a processor, and a memory that causes the processor to receive, via a sensor assembly, sensor signals and convert the sensor signals into a plurality of entries of a full measurement vector. The memory devices causes the processor to determine a first state vector using IMU Kalman filter, update a first subset of entries the full state vector, determine a second state vector using a spatial positioning Kalman filter, update a second subset of entries the full state vector based on the second state vector, determine a third state vector using a vehicle Kalman filter, update a third subset of entries of the plurality of entries of the full state vector based on the third state vector, and control movement of the work vehicle based on at least one of the first state vector, the second state vector, the third state vector, and the full state vector.

Abstract: A vehicular positioning system utilizing multiple optical cameras having contiguous fields of view for reading coded markers having pre-determined positions for determining the position of vehicle inside a structure with a high degree of accuracy. The vehicle positioning system provides for the direct installation and use of a positioning apparatus on a vehicle with a limited number of coded markers to determine the vehicle's position to within millimeter level accuracy.

Abstract: A method of determining the real time state of a machine includes receiving acceleration and angular rate of motion measurements from IMU's mounted on components of a machine. Fusing signals received from the IMU's with separate Kalman filter modules by combining an acceleration measurement and an angular rate of motion measurement from each IMU to estimate an output joint angle for the component on which the IMU is mounted. Estimated and measured values of the output joint angle for each component are combined, a kinematic equation is solved to determine a real time value for at least one of position, velocity, and acceleration of the component at successive timesteps, and the determined real time values are applied to control movement of each component.

Abstract: Method for determining position of a mobile device having an imaging device includes obtaining an image of a mark on a known-position object from the imaging device, the mark having an encoded position, decoding the mark to derive data about the position of the mark using a database of marks and their positions, and analyzing appearance of the mark in the image in combination with the derived data about the position of the mark to determine the position of the mobile device. Mark appearance analysis may involve analyzing an angle between an imaging direction of the imaging device and a surface of the mark.

Abstract: A navigation system includes at least one inertial sensor configured to detect motion of the system and generate inertial data; at least one aiding device configured to generate aiding device measurement data; at least one processing unit configured to generate an un-smoothed navigation solution inclusive of navigation state variable error resets based on the inertial data and the aiding device measurement data; wherein the at least one processing unit is further configured to sum the state variable error resets into a cumulative sum of the state variable error resets; wherein the at least one processing unit is further configured to high pass filter the cumulative sum of the state variable error resets; and wherein the at least one processing unit is further configured to subtract the high pass filtered cumulative sum of the state variable error resets from the un-smoothed navigation solution to generate a smoothed navigation solution.

Abstract: Systems and methods are provided for selecting landmarks for navigation. In one embodiment, a system comprises an IMU that provides inertial measurements for a vehicle and at least one image sensor that acquires measurements of the vehicle's environment. The system also comprises a processing unit that calculates a navigation solution for the vehicle based on the inertial measurements, identifies a plurality of landmarks in the acquired measurements, and identifies a plurality of usable landmarks from the plurality of landmarks. The processing unit also selects a subset of useable landmarks from the plurality of useable landmarks such that the subset of landmarks has a smaller dilution of precision (DOP) than other possible subsets of landmarks from the plurality of useable landmarks, and calculates an updated navigation solution from the subset of landmarks. The DOP is an amplification factor of measurement errors derived from the geometry of the subset of useable landmarks.

Abstract: In a method for warning a driver of a vehicle, the position of the vehicle on the roadway is determined. For the determined position of the vehicle, data relating to a curved roadway course in the area ahead of the vehicle are obtained and data relating to a self-motion of the vehicle are obtained using a driving dynamics sensor. The curved roadway in the area ahead of the vehicle is divided into at least two zones of criticality as a function of the data relating to the curved roadway course and the data relating to the self-motion, wherein each zone of criticality is assigned an assessment which assesses the driving behavior of the vehicle within the respective zone of criticality, and the assessments are outputted to the vehicle driver.

Abstract: An inclination angle compensation system for determining an inclination angle of a machine is disclosed. The inclination angle compensation system may have a non-gravitational acceleration estimator configured to estimate a non-gravitational acceleration of a machine based on an estimated inclination angle and an acceleration output from a forward acceleration sensor. The inclination angle compensation system may also have an inclination angle sensor corrector configured to receive an inclination angle output from an inclination angle sensor, determine an inclination angle sensor acceleration based on the inclination angle output, and calculate a corrected inclination angle of the machine based on the non-gravitational acceleration and the inclination angle sensor acceleration.

Abstract: A navigation system for use with moving vehicles includes target points proximate to a rendezvous site located on a first moving vehicle. One or more transmitters associated with the target points broadcast time-tagged target point positioning information. A navigation unit on a second moving vehicle utilizes a camera with known properties to capture images that include the target points. The navigation unit processes the image that corresponds in time to the positioning information, to determine the relative position and orientation of the rendezvous site at the second vehicle. The navigation unit utilizes the relative position and orientation and an absolute position and orientation of the rendezvous site calculated from the target position information and calculates an absolute position and orientation corresponding to the second vehicle.

Abstract: Method of determining navigation parameters for a carrier by a hybridization device comprising a Kalman filter (3) formulating a hybrid navigation solution on the basis of inertial measurements calculated by a virtual platform (2) and of raw measurements of signals emitted by a constellation of satellites delivered by a satellite positioning system (GNSS), characterized in that it comprises, the steps of: —determination, for each satellite, of at least one likelihood ratio (Ir, Ir?) between a hypothesis regarding a fault of a given nature of the satellite and a hypothesis regarding an absence of fault of the satellite, —declaration, of a fault of a given nature on a satellite as a function of the likelihood ratio (Ir, Ir?) associated with this fault and of a threshold value, —estimation of the impact of the declared fault on the hybrid navigation solution, and ?correction of the hybrid navigation solution as a function of the estimation of the impact of the declared fault.

Abstract: A method, computer program product, and system are provided for position estimation in a geo-location system. For example, the method can include receiving a plurality of position measurements from a respective plurality of satellites in a global navigation satellite system. From the plurality of position measurements, a position measurement with a maximum pseudo-range residual value can be selected. A position uncertainty estimate can be determined based on the position measurement with the maximum pseudo-range residual value. Further, a position estimation algorithm can receive the position uncertainty estimate as an input, thereby improving position estimation of the geo-location system.

Abstract: A positioning device including a movement measuring unit for measuring a relative positional change and a passing position calculation control unit for continuing measurement of the positional change of the movement measuring unit during movement, being given position data of any first point at the first point on a moving route excluding a start point, and determining position data of a point which has been passed before arrival at the first point on the basis of the given position data of the first point and data of the positional change continuously measured by the movement measuring unit.

Abstract: The initialization of an inertial navigation system is performed using information obtained from an image of an object. Positional and orientational information about the object in a global reference frame and positional and orientational information about the camera relative to the object are obtained from the image. Positional and orientational information for the camera in the global reference frame is determined along with a transformation matrix between inertial sensor reference frame and a navigation coordinate frame. The inertial navigation system is initialized using the positional and orientational information for the camera, the transformation matrix and the velocity of the camera when the object was imaged, i.e., zero. Using the initialized data with measurements from the inertial sensors the position of the mobile platform may be updated during navigation and provided, e.g., on a digital map. Inertial navigation errors may be corrected using information obtained from images of different objects.

Abstract: Methods and systems are disclosed for calibrating a crane for crane geometry. A Global Navigation Satellite System (GNSS) receiver antenna is disposed on a point along a boom assembly of the crane, the crane configured to pivot about a pivot point. A working arm of the crane is rotated about the pivot point to at least three different positions. Three locations are determined in a geo-referenced coordinate system of the at least three different positions. A location of the pivot point is determined based on the three locations.

Abstract: A quasi tightly coupled (QTC) aided INS (AINS) process has an inertial navigator system with a loosely-coupled AINS Kalman filter that constructs INS-GNSS position measurements, a GNSS position engine that computes a position fix from observables and an externally provided a priori position and position VCV matrix. An INS position seeding process in which the externally provided a priori position to the GNSS position engine is an antenna position computed from the INS position and attitude solution. An observable subspace constraint (OSC) process computes an OCS matrix that suppress the components of the GNSS position error due to a poor geometry in the GNSS position solution in the IG position measurement constructed by the AINS Kalman filter and that multiplies the OSC matrix and the IG position measurement and measurement model matrix to suppress uncorrected component of the GNSS position error in the IG position measurement and measurement model.

Abstract: An information processing apparatus that acquires estimated altitude data corresponding to a position based on detection information detected by a sensor at or near the position, and corrects altitude data associated with the position based on the estimated altitude data.

Abstract: A vehicle control system having a controller and a spatial database adapted to provide spatial data to the controller at control speed. The spatial data provided from the spatial database to the controller includes images collected from an optical sensor subsystem in addition to other data collected by a variety of sensor types, including a GNSS or inertial measurement system. The spatial data received by the controller from the database forms at least part of the control inputs that the controller operates on to control the vehicle. The advantage provided by the present invention allows control system to “think” directly in terms of spatial location. A vehicle control system in accordance with one particular embodiment of the invention comprises a task path generator, a spatial database, at least one external spatial data receiver, a vehicle attitude compensation module, a position error generator, a controller, and actuators to control the vehicle.

Abstract: Methods and systems for determining a location of a mobile device using a multi-modal Kalman filter are described. According to an example method, a mobile device may maintain multiple approximations of a location of a mobile device. Each approximation includes an estimated geographic location of the mobile device that is determined by filtering a respective subset of location estimates received by the mobile device using a respective Kalman filter, and one of the multiple approximations is designated as an active approximation. The method also involves receiving data indicating an estimate of a geographic location of the mobile device and, based on a distance between the estimate of the geographic location and a given approximation of the multiple approximations, updating the given approximation using the estimate of the geographic location. Additionally, the method involves providing for display a visual indication of an estimated geographic location associated with the active approximation.

Abstract: A real-time calibration system and method for a mobile device having an onboard magnetometer uses an estimator to estimate magnetometer calibration parameters and a magnetic field external to the mobile device (e.g., the earth magnetic field). The calibration parameters can be used to calibrate uncalibrated magnetometer readings output from the onboard magnetometer. The external magnetic field can be modeled as a weighted combination of a past estimate of the external magnetic field and the asymptotic mean of that magnetic field, perturbed by a random noise (e.g., Gaussian random noise). The weight can be adjusted based on a measure of the statistical uncertainty of the estimated calibration parameters and the estimated external magnetic field. The asymptotic mean of the external magnetic field can be modeled as a time average of the estimated external magnetic field. are within the scope of the following claims.

Abstract: A navigation device is provided herein comprising an inertial measurement unit (IMU), a camera, and a processor. The IMU provides an inertial measurement to the processor and the camera provides at least one image frame to the processor. The processor is configured to determine navigation data based on the inertial measurement and the at least one image frame, wherein at least one feature is extracted from the at least one image frame based on the navigation data.

Abstract: In a GPS composite navigation apparatus of a configuration having a GPS receiver, variation in an estimated position, an estimated velocity, and an estimated azimuth of a moving body when the moving body is not moving is resolved, and the GPS/INS integrated navigation system with good response characteristics from a stationary state to a moving state. A stationary detector for determining the stationary state of the moving body is provided, and when it is determined to be the stationary state by the stationary detector, a measurement model used for measurement-update of a Kalman filter is changed, while a changed amount of an error covariance matrix by the update is corrected.

Abstract: A vehicle navigation system includes a Kalman filter having a first filter receiving satellite positioning data and a second filter receiving vehicle sensor data. The first filter generates a first state vector estimate and a corresponding first state error covariance matrix. The second filter generates a second state vector estimate and a corresponding second state error covariance matrix. A third filter receives the first and second state vector estimates and the first and second state error covariance matrices, and generates a combined state vector estimate and a corresponding combined state error covariance matrix. A prediction processor generates a predicted state vector estimate and a predicted state error covariance matrix from the combined state vector estimate and the combined state error covariance matrix. The predicted state vector estimate and the predicted state error covariance matrix are provided to the first filter, the second filter, and the third filter.

Abstract: A method is provided for processing data in an influencing device, whereby the influencing device is connectable to a vehicle control unit and to a data processing unit. If the influencing device receives a first trigger or a second trigger, the first trigger is checked for a valid assignment to a function implemented in the hardware or software. If there is a valid assignment, the assigned function is started. A first address and/or a second address and/or the value are checked for a valid assignment to a first sub-function or a second sub-function. Depending on the called sub-function, the value is checked and/or manipulated and depending on the result of the check, the checked value and/or the manipulated value are sent by the influencing device to the vehicle control unit and/or to the data processing unit and/or stored in the memory of the influencing device.

Abstract: An enhanced vehicle guidance system comprising a global navigation satellite system (GNSS) receiver and a data processor with a memory component and a computing device. The method of enhancing a vehicle's guidance system may comprise calculating the altitude, latitude, and longitude of a GNSS receiver for each of a plurality of positions; calculating the incline angle between adjacent points; and using the calculated incline angles to infer the attitude of the vehicle at any of the plurality of positions. The attitude may be used to calculated an inertial correction factor to compensate for GNSS position inaccuracies induced as a result of the vehicle rolling and pitching on uneven terrain. The altitude, latitude, longitude, and attitude of the plurality of positions may be stored in the memory such that the system may look-up the attitude for a given position without recalculating the attitude and without using an inertial sensor.

Abstract: A state is added to a Kalman filter to model GPS multipath errors. The multipath states may be modeled as either a random walk model or a Gauss-Markov process. The choice of the model depends on the characteristics of the multi-path error and the GPS receiver. Adding this state to the Kalman filter to model multipath improves the navigation system's robustness when operating as a deeply integrated system when multipath is present.

Abstract: A vehicle relative position estimation apparatus includes: a motional state acquiring unit that acquires vehicle control information for controlling the motional state of a vehicle or the motional state of the vehicle detected by an in-vehicle apparatus of the vehicle, and vehicle control information for controlling the motional state of another vehicle or the motional state of another vehicle detected by an in-vehicle apparatus of another vehicle; a relative position acquiring unit that acquires the relative position detected by the in-vehicle apparatus provided in the vehicle or another vehicle; an estimation unit that receives the vehicle control information or the motional state of the vehicle, and the vehicle control information or the motional state of another vehicle acquired by the motional state acquiring unit and estimates the relative position with a Kalman filter using the relative position acquired by the relative position acquiring unit as the amount of observation.

Abstract: A method and apparatus for detecting location information using a navigation algorithm are provided. The method includes searching for neighboring Global Positioning System (GPS) satellites, receiving, if at least one GPS satellite is detected, pseudo-range information from at least one of the detected GPS satellites and storing the received pseudo-range information, calculating a displacement of a pedestrian terminal based on step detection of a pedestrian, correcting the calculated displacement of the pedestrian terminal using the received pseudo-range information, and measuring the location of the pedestrian terminal is measured using the corrected displacement.

Abstract: Methods and apparatuses for estimating a user's altitude with respect to the mean sea level are provided. According to some aspects, the present invention is able to estimate altitude in both open sky as well as in degraded GPS signal environments such as dense urban canyon environments where GPS performance is affected by fewer available satellites and/or multipath error. According to other aspects, the present invention uses data from a pressure sensor to estimate altitude, either with or without the use of GPS aiding data. According to further aspects, estimated altitude is integrated with other types of dead reckoning data to provide user context detection pertaining to changes of altitude.

Abstract: An inclinometer using a forward speed, a yaw angle rate, a forward acceleration and external altitude information in order to calculate an inclination angle. The inclinometer performs an automatic calibration of an accelerometer bias. The inclinometer may also perform an automatic calibration of an accelerometer position offset. The external altitude information is not required to be continuous.

Abstract: A method for calculating a navigation phase for a carrier, in a navigation system involving terrain correlation, includes determining a navigability map in which each point of interest of an onboard map is associated with a navigability score. The method is applicable to all terrain aided navigation techniques, and allows the consideration of the quality of the onboard maps and terrain sensors used.

Abstract: Embodiments include systems and methods of navigation. In on embodiment, a plurality of position and motion states of a vehicle are estimated. The states may be estimated based on information received from a satellite receiver and an inertial measurement sensor. Estimating the states comprises performing one or more of a plurality of update steps at the rate that information is received from the satellite receiver. The states are estimated at a rate greater than the rate at which the update steps are performed. In one embodiment, the states are estimated using a stepped extended Kalman filter.

Abstract: A system for controlling a vehicle. The vehicle has a steerable front axle and at least one further steerable axle. The system determining the path of a reference lead point at the front of the vehicle and determining the path of a follow point at the rear of the vehicle. A controller for driving the at least one further steerable axle of the vehicle such that the deviation between the path of the lead point of the vehicle and the follow point is within a predetermined range while the vehicle is in motion.

Abstract: A current position detector for a vehicle includes: an angular speed sensor; a speed sensor; a GPS receiver; a traveling trajectory estimating element for estimating a relative trajectory based on an orientation change amount and a traveling distance, and for estimating a traveling trajectory based on the relative trajectory and a GPS signal; and an error estimating element for estimating and correcting each error of an angular speed signal, a speed signal and the GPS signal. The error estimating element estimates a gain error of the angular speed signal such that an attachment angle gain error attributed to an attachment angle of the angular speed sensor and an angular speed gain error attributed to a non-linear gain property of the angular speed sensor are independently estimated.

Abstract: A computerized system and method for peak-seeking-control that uses a unique Kalman filter design to optimize a control loop, in real time, to either maximize or minimize a performance function of a physical object (“plant”). The system and method achieves more accurate and efficient peak-seeking-control by using a time-varying Kalman filter to estimate both the performance function gradient (slope) and Hessian (curvature) based on direct position measurements of the plant, and does not rely upon modeling the plant response to persistent excitation. The system and method can be naturally applied in various applications in which plant performance functions have multiple independent parameters, and it does not depend upon frequency separation to distinguish between system dimensions.

Abstract: Provided is a location measurement method of a mobile node using a predictive filter is provided for improving the location measurement accuracy of the mobile node. The location measurement method of a mobile node detects change of movement pattern of the mobile node, corrects weights of a location measurement period and a predictive filter depending on the change of movement pattern, and compensates a location of the mobile node using the corrected weights of the location measurement period and predictive filter.

Abstract: A vehicle navigation system includes a Kalman filter having a first filter receiving satellite positioning data and a second filter receiving vehicle sensor data. The first filter generates a first state vector estimate and a corresponding first state error covariance matrix. The second filter generates a second state vector estimate and a corresponding second state error covariance matrix. A third filter receives the first and second state vector estimates and the first and second state error covariance matrices, and generates a combined state vector estimate and a corresponding combined state error covariance matrix. A prediction processor generates a predicted state vector estimate and a predicted state error covariance matrix from the combined state vector estimate and the combined state error covariance matrix. The predicted state vector estimate and the predicted state error covariance matrix are provided to the first filter, the second filter, and the third filter.

Abstract: An engine control apparatus which may be employed in automotive vehicles. The engine control apparatus is equipped with at least one of a combustion parameter or a controlled variable arithmetic expression. The combustion parameter arithmetic expression defines combustion conditions of the engine needed to achieve required values of engine output-related values such as exhaust emissions. The controlled variable arithmetic expression defines how to operate actuators for an operation of the engine to meet desired combustion conditions of the engine. The use of the combustion parameter or controlled variable arithmetic expression achieves simultaneous agreement of the engine output-related values with required values without mutual interference between combustion parameters associated with the combustion conditions.

Abstract: A system for navigation and tracking may include an inertial navigation system adapted to generate a replica GNSS signal and a global navigation satellite system. The global navigation satellite system may include a module to digitize a GNSS signal received from a constellation of global navigation satellites. A correlator receives the digitized GNSS signal and the replica GNSS signal. The correlator correlates the digitized GNSS signal to the replica GNSS signal to generate a correlated GNSS signal. A coherent integration module coherently integrates the correlated GNSS signal to generate an integrated signal having a predetermined rate. A filter receives the integrated signal and generates a data signal for navigation and tracking. An output device may present the navigation and tracking information based on the data signal, or the navigation and tracking information may be used to provide guidance for a vehicle or may be used to track a target.

Abstract: An auxiliary satellite positioning system is applied to a first satellite positioning apparatus. The auxiliary positioning system includes a detection module, a transmission interface and a positioning module. A second satellite positioning module having a satellite data can be detected by the detection module via a wireless transmission protocol. The satellite data can be transmitted by the transmission interface to the first satellite positioning module from the second satellite positioning module. The satellite data can be used by the positioning module to implement a satellite positioning action.

Abstract: An optical tracking vehicle control system includes a controller adapted for computing vehicle guidance signals and a guidance subsystem adapted for receiving the guidance signals from the controller and for guiding the vehicle. An optical movement sensor is mounted on the vehicle in optical contact with a travel surface being traversed by the vehicle. The optical movement sensor is connected to the controller and provides vehicle movement signals thereto for use by the controller in computing vehicle position. The optical movement sensor can be either mounted on a gimbal for movement independent of the vehicle, or, alternatively, multiple optical movement sensors can be provided for detecting yaw movements. GNSS and inertial vehicle position tracking subsystems are also provided. Still further, a method of tracking a vehicle with an optical movement sensor is provided.

Abstract: An electronic system for providing personal navigation assistance to a user includes a first mobile electronic device having a first GPS module for generating first GPS data and an INS module for generating INS data, and a second mobile electronic device having a second GPS module for generating second GPS data. A wireless communication link allows for communication of data between the first electronic device and the second electronic device. A processor combines the first GPS data, the second GPS data, and the INS data to produce calculated location data indicative of the location of a user at each of a plurality of times. An output component provides personal navigation assistance to a user based on the calculated location data, such as audio instructions.

Abstract: System and methods of increasing reliability of determined location information by using two integration filters are provided. An exemplary embodiment integrates inertial navigation system information and global navigation satellite system (GNSS) information in a real time Kalman filter; determines a real time location of the aircraft with the real time Kalman filter based upon the INS information and the GNSS information; delays the GNSS information by an interval; integrates the INS information and the delayed GNSS information in a delay Kalman filter; determines a predictive location of the aircraft with the delay Kalman filter based upon the INS information, the delayed GNSS information, and the interval; and in response to an inaccuracy of the real time location determined from the real time Kalman filter, selects the predictive location determined from the delay Kalman filter as a new real time location of the aircraft.

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: Method of determining navigation parameters for a carrier by a hybridization device comprising a Kalman filter (3) formulating a hybrid navigation solution on the basis of inertial measurements calculated by a virtual platform (2) and of raw measurements of signals emitted by a constellation of satellites delivered by a satellite positioning system (GNSS), characterized in that it comprises, the steps of:—determination, for each satellite, of at least one likelihood ratio (Ir, Ir?) between a hypothesis regarding a fault of a given nature of the satellite and a hypothesis regarding an absence of fault of the satellite,—declaration, of a fault of a given nature on a satellite as a function of the likelihood ratio (Ir, Ir?) associated with this fault and of a threshold value,—estimation of the impact of the declared fault on the hybrid navigation solution, and ?correction of the hybrid navigation solution as a function of the estimation of the impact of the declared fault.

Abstract: An inclinometer using a speedometer and a forward-looking accelerometer for measuring inclination angle.