Panasonic Intellectual Property Corporation of America

Panasonic Intellectual Property Management Co., Ltd.

Panasonic Intellectual Corporation of America

Ryota Fujimura

Yasunori Ishii

Tetsuji Fuchikami

Kazuki Kozuka

Hiroaki Urabe

Sotaro Tsukizawa

Yohei Nakata

Takuya Yamaguchi

Satoshi Sato

Hideo Umetani

Iku Ohama

Masaki Takahashi

Pongsak Lasang

Kazuki Funase

Luca Rigazio

Masahiko Saito

Yukie Shoda

Reiko Hagawa

Min Young Kim

Changxin Zhou

An information processing device includes a processor. The processor obtains a first classification threshold for classifying data into at least one of a plurality of classes, and outputs a classification result of classifying the data into at least one of the plurality of classes based on an output of a trained classification model and the first classification threshold. The first classification threshold is obtained by a second transform performed on a second classification threshold, the second transform being an inverse transform of a first transform. The first transform corresponds to transforming the output of the trained classification model into a classification probability value of each of a plurality of unit classes constituting the plurality of classes. The second classification threshold is set based on the classification probability values of the plurality of unit classes.

Information processing device, information processing method, and recording medium

An information processing method performed by a computer includes: obtaining prediction results that are results of prediction performed by predictors on same input data; obtaining, for each of the prediction results, an influence that the input data had on the prediction result; determining, based on the prediction results, one or more combinations of the prediction results; and presenting, side by side or by superposition, using a presentation device, influences obtained for prediction results that are included in the prediction results and are in a same combination among the one or more combinations.

Information processing method for presenting influences obtained for prediction results, information processing system, and recording medium

An interval between a pinhole and a pinhole is set to a first interval at which a degree of superimposition of subject images captured through the corresponding pinholes falls within a predetermined range when an image of a subject located at a distance less than a predetermined distance from the multi-pinhole camera is captured. An interval between the pinhole and a pinhole is set to a second interval narrower than the first interval at which a degree of superimposition of subject images captured through the corresponding pinholes falls within a predetermined range when an image of the subject located at a distance equal to or more than the predetermined distance from the multi-pinhole camera is captured.

Multi-pinhole camera and image identification system

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

An information processing device is an information processing device including a processor. The processor obtains a detection result of a first detector for detecting a first target in first sensing data; and based on the detection result of the first detector, determines a setting of processing by a second detector for detecting a second target in second sensing data next in an order after the first sensing data, the second target being different from the first target.

Detection device, detection method, and recording medium for detecting an object in an image

An information processing method includes: obtaining, from a mobile object, (i) at least one of operation information of the mobile object and traveling information indicating a traveling route taken by the mobile object, and (ii) sensor data obtained by sensing of the traveling route using a sensor included in the mobile object; causing a learning model to learn, using (i) the at least one of the operation information and the traveling information, and (ii) the sensor data as input, at least one of operation performed on and movement made by the mobile object using the sensor data obtained by sensing of the traveling route; generating, according to a number of times the learning model is trained, presentation information indicating the input required before the learning model completes learning about the traveling route; and causing a presentation device to present the presentation information.

Information processing method and information processing device

An information processing method is executed by a computer, and includes: obtaining a first image generated by a multi-pinhole camera; extracting at least one point spread function (PSF) in each of a plurality of regions in the first image; obtaining a second image different from the first image, and reference data used in machine learning for the second image; generating a third image, by convolving each of a plurality of regions in the second image with at least one PSF extracted in a corresponding region of the plurality of regions in the first image; and outputting a pair of the reference data and the third image.

Information processing method, information processing system, and information processing apparatus

An information processing device includes a processor. This processor: obtains at least one of first sensor data output from a first sensor and used to determine an ambient environment of a device in which a third sensor is placed, and second sensor data used to determine an orientation of this device; determines a tilt of a plane in a sensing direction of the third sensor with respect to the orientation of the device based on the at least one of the first sensor data and the second sensor data; determines, in accordance with the tilt determined, a processing target area of third sensor data output from the third sensor and used for object detection processing in the sensing direction of the third sensor; and executes the object detection processing using the processing target area determined, of the third sensor data.

An information processing device is configured to: obtain sensing data from an optical sensor; obtain position information of a mobile body which includes the optical sensor; obtain map information; determine, in sensing data, a specific sensing data region corresponding to a specific region in a sensing region of the optical sensor by using the position information and the map information that have been obtained; determine input information to be provided to an object detection model, according to the specific sensing data region; and cause the object detection model to perform object detection processing by using the input information.

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

A method is provided for reducing computer memory usage and processing time in assessing effectiveness of a prediction model. The method includes acquiring a plurality of records and sorting the records based on prediction values. The method also includes determining two of three performance data parameters, including a number of selected records and a number of correct decisions, and determining a level of effectiveness of the prediction model based on the two of three performance data parameters. The method further includes generating a graph illustrating the level of effectiveness of the prediction model based on the two of three performance parameters, and visually conveying the level of effectiveness of the prediction model utilizing the generated graph.

Evaluation result display method, evaluation result display apparatus, and non-transitory computer-readable recording medium storing evaluation result display program

An information processing device includes: a processor configured to: obtain sensor data; determine partial data; input the sensor data to an input layer of a first neural network recognition model; input the partial data to an input layer of a second neural network recognition model; align second intermediate output data from a second intermediate layer of the second neural network recognition model, relative to first intermediate output data from a first intermediate layer of the first neural network recognition model; generate intermediate input data from the first intermediate output data and the second intermediate output data aligned; and input the intermediate input data to a third intermediate layer of the first neural network recognition model subsequent to the first intermediate layer.

Information processing device and information processing method

An apparatus includes a memory, and circuitry which, in operation, performs operations including, storing, in the memory, an object occurrence map defining an occurrence area where there is a possibility that an object appears, detecting the object included in a captured image of a scene seen in a running direction of a vehicle, switching a vehicle drive mode, based on a result of the detection of the object and the object occurrence map, from an automatic drive mode in which the vehicle is automatically driven to a manual drive mode in which the vehicle is driven manually by a driver, and controlling driving of the vehicle in the switched manual drive mode.

Method of switching vehicle drive mode from automatic drive mode to manual drive mode depending on accuracy of detecting object

An information processing method includes acquiring, from a device mounted on a vehicle, manual driving information indicating vehicle control for manual driving through a driving route section of the vehicle, acquiring from a device mounted on a vehicle, sensor information acquired via sensing on the vehicle through the driving route section. The information processing method further includes generating automated driving information indicating vehicle control for automated driving through the driving route section, based on the sensor information, and generating automated driving possibility information indicating a possibility of the automated driving through the driving route section, based on the manual driving information and the automated driving information.

Information processing method and information processing apparatus

To provide an information processing apparatus and a program, which are capable of accurately estimating the distance from a monocular camera to an object. The information processing apparatus acquires an image captured by one monocular camera, determines an object area in the image, divides the object area based on variation in a predetermined direction at an end portion in the predetermined direction of the determined object area, and estimates a distance from the monocular camera to an object corresponding to at least one partial object area resulting from the division of the object area.

Information processing apparatus and non-transitory recording medium storing thereon a computer program

An information processing apparatus mountable on a first moving body obtains second movement information including the position and velocity of a second moving body and first movement information including the position and velocity of the first moving body. A second predicted path is determined from the second movement information, and a first predicted path is determined from the first movement information. Then, the information processing apparatus generates travel assistance information including information for directing the first moving body to take a detour from the first predicted path in a direction corresponding to a difference between arrival time periods taken for the second moving body and the first moving body to reach an intersection point of the second predicted path and the first predicted path. Finally, the generated travel assistance information is output.

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Kanagawa, Japan

Ryota Fujimura