Aspects of the subject disclosure may include, for example, a process that formulates an inference that a first group of mobile devices are at ground level, and obtains, for the first group of mobile devices, positions and barometric pressure readings. Ground heights with respect to a common reference height are determined for the first group of mobile devices, and reference barometric pressures are calculated for the first group of mobile devices, at the common reference height according to the barometric pressure readings and the determined ground heights. At least a portion of the reference barometric pressures are combined to obtain a reference barometric pressure. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a process that formulates an inference that a first group of mobile devices are at ground level, and obtains, for the first group of mobile devices, positions and barometric pressure readings. Ground heights with respect to a common reference height are determined for the first group of mobile devices, and reference barometric pressures are calculated for the first group of mobile devices, at the common reference height according to the barometric pressure readings and the determined ground heights. At least a portion of the reference barometric pressures are combined to obtain a reference barometric pressure. Other embodiments are disclosed.

A method for offset calibration of a rotation rate sensor signal of a rotation rate sensor. In a first step, an ascertainment is made that the rotation rate sensor is in an idle state. In a second step, after the first step, a filter parameter is determined as a function of the measured rotation rate sensor values, measured in the idle state, of the rotation rate sensor. In a third step, after the second step, a filtered measured rotation rate sensor value is determined with the aid of the filter parameter. An offset is determined with the aid of the filtered measured rotation rate sensor value.

An average processing section, a timer, and a control section are provided. The average processing section is configured to compute an average measurement value, this being an average value of plural observed values of each of plural measurement targets as output from a switching section that switches output between measurement values acquired from each of the plural measurement targets. The timer is configured to generate a timer signal configured by timing signals at a predetermined interval. The control section is configured to control the switching section and the average processing section so as to compute the average measurement value for each of the measurement targets according to the timer signal and according to a measurement sequence to set an order of measurement and a number of measurements for the plural measurement targets.

There are described a method, apparatus, and kit for validating an upgrade to a data acquisition system (DAS). The method comprises acquiring measurement data from a composite part using an upgraded DAS, the composite part representing a family of parts and having features from different parts of the family of parts incorporated thereon; comparing the measurement data to reference data defining tolerances for the measurement data; and validating the upgrade to the DAS based on the comparing of the measurement data to the reference data.

Disclosed is a cooperative driving method including transmitting information on a merging request to a lead vehicle which is singly driving or cooperatively driving, receiving information indicating whether merging is possible from the lead vehicle which has determined whether the merging is possible, a merging step in which, when information indicating that the merging is possible is received, the follow vehicle merges, transmitting information indicating that the merging is being performed to the lead vehicle, determining whether the merging of the follow vehicle has been completed based on a longitudinal distance from a first preceding vehicle or a transverse distance from a lane line, and a merging completion step of, when it is determined that the merging has been completed, releasing the transmission of the information indicating that the merging is being performed.

Methods and systems are provided for operating a vehicle that supports an automated action, such as an aircraft supporting autopilot, autothrottle, and various other autonomous operations and operating modes. One exemplary method of operating a vehicle involves obtaining one or more user inputs pertaining to an automated action to be performed by an onboard system, obtaining current vehicle status information, determining an operational objective for the automated action based at least in part on the current status information and the one or more user inputs, and providing guidance information pertaining to the automated action in a manner that is influenced by the operational objective and the current status information. For example, the guidance information may include indication of a remedial action to resolve a discrepancy between the operational objective and a projected aircraft behavior in the context of the operational objective or the current vehicle status.

A road surface inclination angle measuring device and a road surface inclination angle measuring method capable of accurately measuring a road surface inclination angle even when the road surface inclination angle measuring device is not horizontally installed on a moving means.

A system and method model a time series from missing data by imputing missing values, denoising measured but noisy values, and forecasting future values of a single time series. A time series of potentially noisy, partially-measured values of a physical process is represented as a non-overlapping matrix. For several classes of common model functions, it can be proved that the resulting matrix has a low rank or approximately low rank, allowing a matrix estimation technique, for example singular value thresholding, to be efficiently applied. Applying such a technique produces a mean matrix that estimates latent values, of the physical process at times or intervals corresponding to measurements, with less error than previously known methods. These latent values have been denoised (if noisy) and imputed (if missing). Linear regression of the estimated latent values permits forecasting with an error that decreases as more measurements are made.

An embodiment of an equipment health state monitoring method adapted to monitor an equipment having a monitored part, including: obtaining a plurality of first values of the monitored part from a sensor in a first time period; extracting a plurality of first parameters from the first values; generating an equipment health state index model according to the first parameters; obtaining a plurality of second value from the sensor in a second time period after the first time period; extracting a plurality of second parameters from the second values; generating a plurality of equipment health state indices according to the second parameters and the equipment health state index model; generating a health state control chart according to the equipment health state indices; and determining whether each of the equipment health state indices locates in an alert area of the health state control chart and outputting a determination result accordingly.