Panasonic Intellectual Property Corporation of America

Panasonic Intellectual Property Management Co., Ltd.

Takuya Yamaguchi

Hideo Umetani

Naoyuki Harada

Shuhei Matsui

Yasunori Ishii

Yohei Nakata

Kazunobu Ishikawa

Sotaro Tsukizawa

Ryota Fujimura

Shinji Ohyama

Denis A Gudovskiy

Masaki Takahashi

Hiroaki Urabe

Kazuma Takeuchi

Alec Hodgkinson

Provided are an information processing method, an information processing apparatus, and a program that can increase a diversity of learning data for configurations or techniques of unspecified devices. The information processing method includes: obtaining sensor data obtained by a sensor installed in a vehicle, and at least one type of traveling data of the vehicle; associating the sensor data and the at least one type of traveling data with each other; determining a degree of difference of the at least one type of traveling data from the at least one type of one or more traveling data associated with one or more sensor data; and selecting the sensor data as learning data according to the degree of difference.

Information processing method, information processing apparatus, and program for selecting images for machine learning for self driving

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 implemented by a computer includes: obtaining a piece of first data, and a piece of second data not included in a training dataset for training an inferencer; calculating, using a piece of first relevant data obtained by inputting the first data to the inferencer trained by machine learning using the training dataset, a first contribution representing contributions of portions constituting the first data to a piece of first output data output by inputting the first data to the inferencer; calculating, using a piece of second relevant data obtained by inputting the second data to the inferencer, a second contribution representing contributions of portions constituting the second data to a piece of second output data output by inputting the second data to the inferencer; and determining whether to add the second data to the training dataset, according to the similarity between the first and second contributions.

Information processing method and information processing system

An information processing method includes: acquiring a first object detection result obtained by use of an object detection model to which sensing data from a first sensor is input, and a second object detection result obtained by use of a second sensor; determining a degree of agreement between the first object detection result and the second object detection result in a specific region in a sensing space of the first sensor and the second sensor; and selecting the sensing data as learning data for the object detection model, according to the degree of agreement obtained in the determining.

Information processing method, information processing apparatus, and recording medium for selecting sensing data serving as learning data

An authentication method includes: receiving, from a terminal of a user, a user ID for identifying the user and a target vehicle ID for identifying a target vehicle that the user tries to authenticate; determining whether the target vehicle ID matches a reserved vehicle ID for identifying a reserved vehicle whose dispatch has been reserved by the user; in a case where the target vehicle ID matches the reserved vehicle ID, transmitting, to the target vehicle, an unlocking instruction to unlock a door of the target vehicle and causing the terminal to present a message indicating that the user is allowed to get on the target vehicle; and in a case where the target vehicle ID does not match the reserved vehicle ID, causing the terminal to present a message indicating that the target vehicle is not the reserved vehicle of the user.

Authentication method for authenticating that target vehicle is vehicle of which dispatch has been reserved in dispatch system, storage medium, server, and dispatch system

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 performed by a computer includes: obtaining a plurality of recognition result candidates in sensing data and a likelihood of each of the plurality of recognition result candidates, the plurality of recognition result candidates and the likelihood being obtained by inputting the sensing data to a model that is trained by machine learning and performs recognition processing; obtaining an indication designating a part to be analyzed in the sensing data; selecting at least one recognition result candidate from the plurality of recognition result candidates, based on (i) a relationship between each of the plurality of recognition result candidates and the part and (ii) the likelihood of each of the plurality of recognition result, candidates; and outputting the at least one recognition result candidate that is selected.

An information processing method includes: acquiring, from one or more first vehicles, manual driving information for each of the first vehicles; acquiring, from one or more second vehicles, automatic driving information for each of the second vehicles; calculating, for each area, a first value of a driving parameter correlated with a degree of difficulty in driving according to the manual driving information; calculating, for the each area, a second value of the driving parameter according to the automatic driving information; comparing the first value with the second value for the each area to determine at least one difficult area in which travel of a vehicle by automatic driving is difficult; and creating difficult area information.

Information processing method for determining difficult area in which travel of vehicle by automatic driving is difficult, information processing apparatus, system, and storage medium

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.

Information processing device, information processing method, and recording medium

A vehicle authentication method, a recording medium storing a program, a terminal device, and a vehicle authentication system which may raise security level on vehicle authentication by a user are provided. In the vehicle authentication method, the terminal device acquires a vehicle authenticator for authentication of a reserved vehicle, sends a reference vehicle a request for a vehicle authenticator for authentication of the reference vehicle, and determines whether the vehicle authenticators of the reference vehicle and the reserved vehicle coincide. Then a message that the reference vehicle is the reserved vehicle is displayed on the display unit upon determination that the vehicle authenticators of the reference vehicle and the reserved vehicle coincide. And a message that the reference vehicle is not the reserved vehicle is displayed on the display unit upon determination that the vehicle authenticators of the reference vehicle and the reserved vehicle do not coincide.

Vehicle authentication method, recording medium storing program, terminal device, and vehicle authentication system

An information processing apparatus is configured to cause a first recognizer to execute a first recognition process that takes sensor information as input, and a second recognizer to execute a second recognition process that takes the sensor information as input, the second recognizer being configured to operate under different capability conditions from the first recognizer; determine one of a transmission necessity and a transmission priority of the sensor information depending on a difference between a first recognition result of the first recognition process and a second recognition result of the second recognition process; and transmit the sensor information to a server apparatus according to the determined one of the transmission necessity and the transmission priority.

Information processing apparatus

An apparatus is mounted on a vehicle that is autonomously driven and that is used for passenger transportation. The apparatus includes: a processor; and a memory storing thereon a computer program. When executed by the processor, the program causes the processor to perform operations including: selecting a target person who is at least one of humans who are present around the vehicle and are detected using sensing information about surroundings of the vehicle; acquiring a first state indicating a state of the selected target person; acquiring a second state indicating a state of the vehicle changing a speed setting of the vehicle in accordance with the first state and the second state; and controlling traveling of the vehicle at a speed indicated by the speed setting.

Vehicle control apparatus, vehicle control method, and recording medium

An autonomous driving vehicle includes a main vehicle part, a processor, and a memory storing thereon a computer program, which when executed by the processor, causes the processor to perform operations. The operations include detecting a gesture made, to try to stop the main vehicle part, by a person present near a road on which the main vehicle part is running, determining whether there is a passenger in the main vehicle part, and controlling autonomous driving of the main vehicle part. In a case where it is determined that there is no passenger in the main vehicle part, when a person making the gesture is detected, the controlling controls the main vehicle part to stop near the person.

Autonomous driving vehicle, method of stopping autonomous driving vehicle, and recording medium

An information processing method includes, by using a computer: acquiring an annotation skill of an operator who provides annotation information to image; acquiring annotation-target image having an image feature identified based on the annotation skill; acquiring an annotation result attained by the operator for the annotation-target image; and updating the annotation skill using the annotation result and reference annotation information corresponding to the image feature.

An information processing method includes the following performed using a computer: acquiring images created through capturing at the same time, and positions and capturing directions of image capturing devices that created respectively each of the images; acquiring object detection results obtained respectively through object detection processes performed using each of the images; and performing a training data selection process using the images, the positions and the capturing directions, and the object detection results acquired. The training data selection process includes: calculating a common region that is seen in the images in common, based on the positions and the capturing directions; determining a degree of agreement among the object detection results in the common region; and selecting an image to be used as training data from among the images, according to the degree of agreement.

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Osaka, Japan

Takuya Yamaguchi