Abstract: A transaction price prediction device uses a first prediction model for predicting a buying bid volume, to thereby predict a buying bid volume on a prediction-target date/time, and uses a second prediction model for predicting a transaction price, to thereby predict a transaction price on the prediction-target date/time.

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: Included are: a calibration information acquiring unit for acquiring three-dimensional coordinates for at least one gaze target for calibration, the three-dimensional coordinates indicating a position of each gaze target for calibration; a sample acquiring unit for acquiring multiple samples indicating a line-of-sight direction of a user; a calibration model generating unit for generating multiple calibration models indicating three-dimensional coordinates that are candidates for a position of the user on the basis of the three-dimensional coordinates indicating a position of each of the gaze targets for calibration and the samples indicating the line-of-sight direction of the user gazing at each of the gaze targets for calibration; and a calibration parameter calculating unit for calculating calibration parameters on the basis of the generated calibration models.

Abstract: A recognized-region estimation device is provided with a visually-recognized-region calculating unit which calculates a visually-recognized region visually recognized by a driver of a mobile body in a mobile body coordinate system based on the mobile body on the basis of a line-of-sight direction of the driver, and a recognized-region calculating unit which calculates a recognized region recognized by the driver in the mobile body coordinate system on the basis of the visually-recognized region calculated by the visually-recognized-region calculating unit.

Abstract: Included are: a calibration information acquiring unit for acquiring three-dimensional coordinates for at least one gaze target for calibration, the three-dimensional coordinates indicating a position of each gaze target for calibration; a sample acquiring unit for acquiring multiple samples indicating a line-of-sight direction of a user; a calibration model generating unit for generating multiple calibration models indicating three-dimensional coordinates that are candidates for a position of the user on the basis of the three-dimensional coordinates indicating a position of each of the gaze targets for calibration and the samples indicating the line-of-sight direction of the user gazing at each of the gaze targets for calibration; and a calibration parameter calculating unit for calculating calibration parameters on the basis of the generated calibration models.

Abstract: A recognized-region estimation device is provided with a visually-recognized-region calculating unit which calculates a visually-recognized region visually recognized by a driver of a mobile body in a mobile body coordinate system based on the mobile body on the basis of a line-of-sight direction of the driver, and a recognized-region calculating unit which calculates a recognized region recognized by the driver in the mobile body coordinate system on the basis of the visually-recognized region calculated by the visually-recognized-region calculating unit.

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: In probe data tallying, tallying with a high-resolution spatial granularity is enabled, and high-precision tallying is enabled by suppressing loss of the information quantity of the probe data. A data recording part records probe data generated by a vehicle, which is a probe. A filter coefficient recording part associates filter coefficients determined depending on distances between a road, which is a geographic element existing in a geographic range segmented into a plurality of regions, and the plurality of regions, with the plurality of regions, respectively, and records the filter coefficients. A filter computation processing part selects regions corresponding to the probe data recorded by the data recording part, respectively, from among the plurality of regions, reads the filter coefficients associated with the selected regions and recorded by the filter coefficient recording part, respectively, weights the probe data with the filter coefficients, respectively, and tallies the probe data.