Abstract: A vehicle control device determines whether a plurality of other vehicles exist or not in a first specified region, acquires first inter-vehicle distances in a traveling direction and a vehicle width direction between the plurality of other vehicles, in case where the plurality of other vehicles exist in the first specified region, recognizes a set of other vehicles between which the first inter-vehicle distances are within a specified range, as one other-vehicle group, and controls driving of an host vehicle based on a first vehicle velocity Vcar1 of the one other-vehicle group.

Abstract: A recognition processing device includes a peripheral situation recognition unit configured to recognize a type of object around a vehicle and a positional relationship with the vehicle, an object recognition unit configured to select a word indicating the type of object recognized by the peripheral situation recognition unit and a word indicating a positional relationship between the vehicle and the object, and a text generation unit configured to generate text for describing a peripheral situation recognized by the peripheral situation recognition unit, wherein the text includes the word indicating the type of object selected by the object recognition unit and the word indicating the positional relationship between the vehicle and the object selected by the object recognition unit.

Abstract: A vehicle control device includes: a peripheral situation recognition unit (132) configured to recognize a peripheral situation of an automatic driving vehicle; a driving control unit (140, 160, (138)) configured to control one or both of steering and an acceleration or deceleration speed of the vehicle based on the peripheral situation recognized by the peripheral situation recognition unit; and a potential risk estimation unit (138) configured to estimate presence or absence and classification of a potential risk meeting with an obstacle based on classification of a target recognized by the peripheral situation recognition unit and a positional relation between the vehicle and the target. The driving control unit performs the driving control based on an estimation result of the potential risk estimation unit.

Abstract: A recognition processing device includes a peripheral situation recognition unit configured to recognize a type of object around a vehicle and a positional relationship with the vehicle, an object recognition unit configured to select a word indicating the type of object recognized by the peripheral situation recognition unit and a word indicating a positional relationship between the vehicle and the object, and a text generation unit configured to generate text for describing a peripheral situation recognized by the peripheral situation recognition unit, wherein the text includes the word indicating the type of object selected by the object recognition unit and the word indicating the positional relationship between the vehicle and the object selected by the object recognition unit.

Abstract: A time-series data prediction device includes an acquisition unit, a prediction model generation unit, and a prediction unit. The acquisition unit acquires a plurality of observation values that continue at predetermined time intervals, as a prediction data, from time-series data of an observation value of a predetermined observation target, and acquires a training data. The prediction model generation unit generates a prediction model to calculate time-series data, which is an observation value predicted based on given time-series data, using the training data. The prediction unit calculates a predicted value of an observation value using the generated prediction model and the prediction data.

Abstract: A performance predicting apparatus includes an approximate model storage unit configured to store approximate models each of which is associated with one of categories, and which are used to calculate functional performance based on feature values, a feature value extracting unit configured to extract the feature values from shape data representing a shape of an object, a selection unit configured to select one of the approximate models to be used from the approximate models stored in the approximate model storage unit depending on the feature values extracted by the feature value extracting unit, and a performance calculating unit configured to calculate functional performance based on the feature values extracted by the feature value extracting unit using the approximate model selected by the selection unit.

Abstract: A time-series data prediction device includes an acquisition unit, a prediction model generation unit, and a prediction unit. The acquisition unit acquires a plurality of observation values that continue at predetermined time intervals, as a prediction data, from time-series data of an observation value of a predetermined observation target, and acquires a training data. The prediction model generation unit generates a prediction model to calculate time-series data, which is an observation value predicted based on given time-series data, using the training data. The prediction unit calculates a predicted value of an observation value using the generated prediction model and the prediction data.

Abstract: A performance predicting apparatus includes an approximate model storage unit configured to store approximate models each of which is associated with one of categories, and which are used to calculate functional performance based on feature values, a feature value extracting unit configured to extract the feature values from shape data representing a shape of an object, a selection unit configured to select one of the approximate models to be used from the approximate models stored in the approximate model storage unit depending on the feature values extracted by the feature value extracting unit, and a performance calculating unit configured to calculate functional performance based on the feature values extracted by the feature value extracting unit using the approximate model selected by the selection unit.

Abstract: An information transmission device which analyzes a diction of a speaker and provides an utterance in accordance with the diction of the speaker, and which has a microphone detecting a sound signal of the speaker, a feature extraction unit extracting at least one feature value of the diction of the speaker based on the sound signal detected by the microphone, a voice synthesis unit synthesizing a voice signal to be uttered so that the voice signal has the same feature value as the diction of the speaker, based on the feature value extracted by the feature extraction unit, and a voice output unit performing an utterance based on the voice signal synthesized by the voice synthesis unit.

Abstract: An information transmission device which analyzes a diction of a speaker and provides an utterance in accordance with the diction of the speaker, and which has a microphone detecting a sound signal of the speaker, a feature extraction unit extracting at least one feature value of the diction of the speaker based on the sound signal detected by the microphone, a voice synthesis unit synthesizing a voice signal to be uttered so that the voice signal has the same feature value as the diction of the speaker, based on the feature value extracted by the feature extraction unit, and a voice output unit performing an utterance based on the voice signal synthesized by the voice synthesis unit.