Panasonic Intellectual Property Corporation of America

Panasonic Intellectual Property Management Co., Ltd.

Yusuke Tsukamoto

Toru Tanigawa

Yukie Shoda

Junichi Imoto

Seiya Imomoto

Kazunobu Ishikawa

Tetsuji Fuchikami

Sotaro Tsukizawa

Hidetsugu Maekawa

Shota Onishi

An information processing method includes the following executed by a computer: acquiring a first image and object data of an object appearing in the first image, extracting a portion of the first image that corresponds to a difference between the object data and an object detection result obtained by inputting the first image to a trained model, the trained model receiving an image as input to output an object detection result, acquiring a second image that includes a portion corresponding to the same object data as object data corresponding to the extracted portion of the first image, reflecting an image based on the extracted portion of the first image in the portion of the acquired second image that corresponds to the same object data, and generating training data for the trained model.

Information processing method and information processing system

An information processing method includes acquiring a first prediction result by inputting evaluation data to a first model; determining an anomaly in the first prediction result based on the first prediction result and reference information; acquiring a second model based on the determination result; acquiring a second prediction result by inputting the evaluation data to the second model; determining an anomaly in the second prediction result based on the second prediction result and the reference information; acquiring a third model based on the determination result; acquiring a third prediction result by inputting the evaluation data to the third model; determining an anomaly in the third prediction result based on the third prediction result and the reference information; and if the anomaly in the third prediction result is recognized as being identical to the anomaly in the first prediction result, outputting information about a training limit of the first model.

A learning data creation method acquires items of still image data or moving image data as event data and non-event data, presents first data that is still image data or moving image data that is of a predetermined time before an event and included in the event data and still image data or moving image data, presents non-event data as second data, receives a judgment result as to whether the first data and second data are similar, (a) stores the event data as positive data, (b) stores the non-event data as positive data if the first data and second data are similar, and (c) stores the non-event data as negative data if the first data and second data are not similar.

Learning data creation method, learning method, risk prediction method, learning data creation device, learning device, risk prediction device, and recording medium

An orientation identification method for identifying an orientation of a device installed by being mounted on a moving body includes: obtaining a certain amount of acceleration in three mutually orthogonal directions detected by an acceleration sensor included in the device; and identifying the orientation of the device expressed in a coordinate system from acceleration data indicating the certain amount of acceleration obtained in the obtaining, according to movement characteristics indicated by statistics of acceleration during movement of the moving body expressed in the coordinate system, the coordinate system including a gravitational acceleration direction as an axis.

Orientation identification method and recording medium

In an information collection method of the present disclosure, a processor of an information collection system acquires event sensor data and identification information from an on-vehicle terminal or a passenger terminal, the event sensor data being output, in response to an event trigger, from an on-vehicle sensor mounted on the on-vehicle terminal or a passenger sensor mounted on the passenger terminal, the identification information identifying an output source of the event sensor data, identifies the passenger terminal associated with the identification information when the identification information indicates the on-vehicle terminal, identifies the on-vehicle terminal associated with the identification information when the identification information indicates the passenger terminal, requests sensor data from the identified passenger terminal or on-vehicle terminal, acquires the sensor data from a request destination, and stores the event sensor data and the sensor data in association with each other in a second memory as dangerous driving information.

Information collection method, information collection system, and non-transitory computer-readable recording medium storing information collection program

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Osaka, Japan

Yusuke Tsukamoto