Kabushiki Kaisha Toshiba

Toshiba Electronic Devices & Storage Corporation

Ryo Nakashima

Akihito Seki

Tomoki Watanabe

Norihiro Nakamura

Yusuke Tazoe

Nao Mishima

Masako Kashiwagi

Yuma Sano

Manabu Nishiyama

Takaaki Kuratate

Masaki Yamazaki

Shunsuke Sakurai

Takuya Miyamoto

According to an embodiment, an information processing device is configured to: estimate, based on target image data, target position data representing an image-capturing position at which the target image data is captured; estimate, based on the target image data, target depth data representing a distance to an object from the image-capturing position; register new image-capturing information including the target image data, the target position data, and the target depth data; display, on a display device, map data representing a map of an environment in which the image data is captured; and display at least one of image data and depth data included in designated image-capturing information that is designated from among a plurality of pieces of image-capturing information, in association with a pixel position in the map data, the pixel position corresponding to position data included in the designated image-capturing information.

Information processing device, information processing method, and computer program product

According to an embodiment, an information processing device include: one or more processors. The processors input data based on input data including first input data belonging to a first domain and second input data belonging to a second domain different from the first domain, to a first model, and acquire first output data indicating an execution result of a first task with the first model. The processors input data based on the input data to a second model, and acquire second output data indicating an execution result of a second task with the second model. The processors convert the first output data into first conversion data expressed in a form of an execution result of the second task. The processors generate supervised data of the second model for the first input data, based on the first conversion data and the second output data.

An estimation device according to an embodiment includes

Estimation device, movable body, estimation method, and computer program product

According to one embodiment, a moving object action registration apparatus includes the following units. The acquisition unit acquires at least one reference image including a first reference image including a marker. The landmark detection unit detects, as a landmark, a feature point indicating a characteristic portion in an environment based on the at least one reference image. The marker detection unit detects the marker based on the first reference image. The calculation unit calculates a relative position between the landmark and the marker. The attribute identification unit identifies an attribute of the marker associated with an action. The registration unit registers the relative position and action information being based on the attribute in a database.

Moving object action registration apparatus, moving object action registration system, and moving object action determination apparatus

A position estimation device according to an embodiment of the present disclosure is provided for estimating a self-position of a moving object device provided with one or more sensors for observing information related to movement. The position estimation device includes one or more hardware processors configured to: estimate a state amount representing a state of each of the one or more sensors based on an observation value of the corresponding sensor; calculate a confidence degree representing a degree of confidence of the state amount of each of the one or more sensors; select one or more target sensors from among the one or more sensors based on the confidence degree of the state amount of each of the one or more sensors; and estimate the self-position based on the observation value and the state amount of each of the selected one or more target sensors.

Position estimation device, moving-object control system, position estimation method, and computer program product

A location estimating apparatus according to an embodiment includes a degree-of-similarity calculator, a correspondence calculator, and a location calculator. The degree-of-similarity calculator calculates a degree of similarity between the input image and the reference image by an arithmetic operation that varies, in a non-discrete manner, the degree of similarity in accordance with a non-discrete variation of a first parameter. The correspondence calculator calculates correspondence between a pixel of the input image and a pixel of the reference image by an arithmetic operation that varies, in a non-discrete manner, the correspondence in accordance with a non-discrete variation of a second parameter. The location calculator calculates a first location indicating a position and/or an orientation of the first imaging device when the input image is captured by an arithmetic operation that varies, in a non-discrete manner, the first location in accordance with a non-discrete variation of the correspondence.

Location estimating apparatus and method, learning apparatus and method, and computer program products

According to an embodiment, an information processing apparatus includes a degradation status acquirer and a calculator. The degradation status acquirer is configured to acquire degradation status information of a road surface from an external device or a storage. The calculator is configured to calculate an evaluation value indicative of difficulty with traveling of a mobile body depending on the degradation status information.

Information processing apparatus, mobile body, and information processing method

An image processing device includes an acquisitor and a processor. The acquisitor acquires information including a first image of an object and a first relationship. The first image includes first and second image areas. The first image area corresponds to a first position of a first part of the object and has a first pixel value. The second image area corresponds to a second position of a second part of the object and has a second pixel value. The processor performs generating a first generated image including a third and a fourth image areas corresponding to the first and the second positions, determining a third pixel value of the third image area and a fourth pixel value of the fourth image area, and calculating a first distance corresponding to a length of the third image area and a second distance corresponding to a length of the fourth image area.

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Kawasaki, Japan

Ryo Nakashima