Panasonic Intellectual Property Corporation of America

Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Panasonic Holdings Corporation

Yukie Shoda

Teruto Hirota

Hideki Matsushima

Shunji Harada

Toru Tanigawa

Junichi Imoto

Taichi Sato

Seiya Imomoto

Yusuke Tsukamoto

Tetsuji Fuchikami

Rieko Asai

Yoshikatsu Ito

Toshihisa Abe

Masayuki Kozuka

Tomoyuki Haga

Masaki Takahashi

Yasunori Ishii

Ryota Fujimura

Hideo Umetani

Katsumi Tokuda

Hidetsugu Maekawa

Reiko Hagawa

Iku Ohama

Noboru Hirata

Masahiro Iwasaki

A dashboard camera acquires video data from a camera that captures the surroundings of a vehicle, acquires sensor data including at least one of acceleration, speed, and angular velocity of the vehicle, gives time information indicating time of acquisition to each of the video data and the sensor data, and transmits the sensor data to a data analysis server when an event occurs in the vehicle, the data analysis server identifies the content of the event occurred in the vehicle based on the sensor data and transmits an identification result to the dashboard camera, and when the identified event is determined to be the predetermined event, the dashboard camera specifies video data to which time information same as the time information given to the sensor data used for the identification is given, and transmits the specified video data to a video accumulation server.

Information processing method, information processing device, non-transitory computer-readable recording medium recording information processing program, and information processing system

A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Program execution device

A demand prediction method using a computer includes calculating an error between a prediction value of an amount of a past demand and a measurement value of the amount of the past demand, the prediction value of the amount of the past demand being calculated by inputting a measurement value of a past explanatory variable to a prediction model that is constructed in accordance with a measurement value of an amount of a demand at a predetermined location and an explanatory variable that serves as an external factor that affects an increase or a decrease in the amount of the demand at the predetermined location, determining whether the calculated error is an abnormal value, acquiring a new explanatory variable if the error is determined to be the abnormal value, updating the prediction model in accordance with the acquired new explanatory variable, and newly predicting an amount of a future demand using the updated prediction model.

Demand prediction method, demand prediction apparatus, and non-transitory computer-readable recording medium

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

An identification method includes acquiring image data, acquiring a photography condition for the image data, selecting a classifier corresponding to the acquired photography condition from a plurality of classifiers, each of which was created for one of a plurality of different photography conditions, and identifying a target in the acquired image data by using the selected classifier.

Identification method, identification apparatus, classifier creating method, and classifier creating apparatus

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

A parking position identification method includes acquiring input data as an image that is generated by photographing a parking region by a camera which is installed in a target vehicle, and identifying a parking position of the target vehicle in the photographed parking region by inputting the input data to a learning model that indicates a relationship between the parking region which has a width in which parking of at least one vehicle is feasible and a parking position for one vehicle in the parking region.

Parking position identification method, parking position learning method, parking position identification system, parking position learning device, and non-transitory recording medium for recording program

A method for processing an image includes calculating a vanishing point located at a same position in a plurality of images that are temporally successive, receiving specification of a target object whose privacy is to be protected in at least one of the plurality of images, calculating a target location area, which includes the vanishing point and in which the target object is located in each of the plurality of images, on the basis of the specification of the target object in the at least one of the plurality of images received in the receiving and the vanishing point calculated in the calculating the vanishing point, and performing image processing for protecting privacy in an area in each of the plurality of images located at a same position as the target location area calculated in the calculating the target location area.

Method for processing image and computer-readable non-transitory recording medium storing program

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Osaka, Japan

Yukie Shoda