Panasonic Intellectual Property Corporation of America

Panasonic Intellectual Property Management Co., Ltd.

Hiroaki Urabe

Yasunori Ishii

Ryota Fujimura

Hirokazu Kawamoto

Ryota Ohnishi

Naoyuki Harada

Tetsuji Fuchikami

Sotaro Tsukizawa

Yohei Nakata

Takuya Yamaguchi

Yoshimasa Honda

Satoru Hayama

Atsuyoshi Kita

An information processing method for use in a computer includes: acquiring a charging state and a deterioration state of a battery; determining an upper limit of the charging state of the battery based on the deterioration state; determining a charging plan of the battery based on the upper limit of the charging state determined and the charging state; and outputting the charging plan determined.

Information processing method and information processing system

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 information processing method causes a computer to execute acquiring a first delivery schedule generated based on a plurality of first destinations and a moving unit for providing delivery or service based on the first destinations, acquiring an attribute of the moving unit, acquiring a plurality of second destinations obtained from a revision in the first destinations after generating of the first delivery schedule, determining a fixed part regarding a destination that is not allowed to be changed on the first delivery schedule of the moving unit, in accordance with the attribute of the moving unit, and generating a second delivery schedule in accordance with the moving unit and the second destinations, without changing the fixed part.

An information processing method to be executed by a computer includes: obtaining a driving skill of a person who rides an autonomous vehicle, which represents at least one of whether the person can drive a manually-drivable autonomous vehicle or a level at which the person can drive; obtaining specifications of autonomous vehicles about autonomous driving; obtaining a route for transporting the person; determining deviation risks, each of which includes at least one of a possibility of deviation of an autonomous driving system including a corresponding one of the autonomous vehicles from an operational design domain or a degree of the deviation, based on the specifications and the route; selecting an autonomous vehicle assigned to transportation of the person from the autonomous vehicles according to each of the deviation risks and the driving skill; and sending a notification of the selected autonomous vehicle.

An information processing method includes: obtaining sensing data; determining a synthesis region in the sensing data in which recognition target data is to be synthesized with the sensing data; generating composite data by synthesizing the recognition target data into the synthesis region, the recognition target data having same or similar characteristics perceived by a human sensory system as the sensing data; obtaining recognition result data by providing the composite data to a model which has been trained using machine learning to recognize a recognition target; making a second determination based on the recognition result data and reference data including at least the synthesis region, the second determination being to determine whether to make a first determination, the first determination being to determine training data for the model based on the composite data; and making the first determination when it is determined in the second determination to make the first determination.

An information processing method includes acquiring first output data for input data of first learning model, reference data for the input data, and second output data for the input data of second learning model obtained by converting first learning model; calculating first difference data corresponding to a difference between the first difference data and the reference data and second difference data corresponding to a difference between the second output data and the reference data; and training first learning model with use of the first difference data and the second difference data.

Information processing method and information processing system for reducing a difference between output data of a first learning model and output data of a second learning model

An information processing apparatus includes a first acquisition unit that acquires first sensing data from a first sensor that performs sensing of an object outside a vehicle, a presentation control unit that generates presentation information based on the first sensing data and causes a presentation device present in the vehicle to present the presentation information, a second acquisition unit that acquires input data for presentation of the presentation information via an input device present in the vehicle, and a boarding control unit that controls boarding of a person on the vehicle according to the input data acquired by the second acquisition unit.

Information processing apparatus and information processing method

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

Provided is an information processing system configured to: obtain a first recognition result of an object based on sensor data from first sensor; obtain a second recognition result of an object based on sensor data from a second sensor different from the first sensor; perform a first determination of determining a degree of similarity between the first and second recognition results; control, in accordance with a result of the first determination, a fusion process of fusing the first and second recognition results; and output at least one of the first recognition result, the second recognition result, and a third recognition result, in accordance with the result of the first determination. The third recognition result is a fusion of the first and second recognition results.

Information processing system and information processing method

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 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

An information processing apparatus processes information regarding autonomous driving, considering the state of a battery in a vehicle. The information processing apparatus obtains power consumption information indicating an amount of power consumption of a module used in autonomous driving of the vehicle using unit-power consumption information of the module and destination information indicating a place to which the vehicle is to travel. Then, the information processing apparatus obtains output information using the power consumption information and outputs the output information.

An information processing apparatus of a vehicle obtains a sensing result from a sensor that senses the path of travel, and receives a result of sensing the path of travel of the vehicle from an external device such as another vehicle. It is determined whether the state of the vehicle at a specific point in time is a first state in which the sensing result obtained from the sensor meets a predetermined condition. If the state of the vehicle is determined to be the first state, first information for controlling the movement of the vehicle is generated based on the sensing result obtained from the sensor. If the state of the vehicle is determined not to be the first state, the first information is generated based on the sensing result received from the external device. Then, the first information is output.

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Osaka, Japan

Hiroaki Urabe