Abstract: 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.

Abstract: A control unit of a server device, as an information processing apparatus of the present disclosure, is configured to execute: notifying a terminal held by a first user associated with pick-up/delivery (P/D) of a package of a P/D route and a scheduled passing time of the P/D route, at a predetermined time before a scheduled P/D time; receiving a boarding request of the first user, which is for boarding at a first location on the P/D route or within a first predetermined range around the P/D route, from the terminal; and transmitting to a moving object traveling for the P/D, a command for transporting the first user from the first location to a P/D destination.

Abstract: Provided is a system including: a first vehicle equipped with a land mobile station for mobile communication; and a second vehicle that transports the first vehicle and a user holding a terminal for mobile communication. The system further includes a control unit configured to acquire radio wave intensity of the mobile communication at a current location of the second vehicle, and generate, when the acquired radio wave intensity is less than a predetermined intensity, a command to unload the first vehicle from the second vehicle; and generating a command to relay the mobile communication by the land mobile station of the first vehicle.

Abstract: A control section of a server apparatus as an information processing apparatus in the disclosure executes: inquiring of a terminal of a user who desires to board a self-driving vehicle operating for pickup-delivery of an item, whether or not the user is able to handle work of pickup-delivery of the item at a pickup-delivery location between the self-driving vehicle and a pickup-delivery service user; and when a response indicating that the user is able to handle the work of pickup-delivery when the user is on board the self-driving vehicle is received from the terminal, transmitting to the self-driving vehicle an instruction to allow the user who desires to board and is able to handle the work of pickup-delivery to board the self-driving vehicle.

Abstract: An information processing apparatus manages operation of an autonomous vehicle that delivers a package. The information processing apparatus includes a control section that before the autonomous vehicle arrives at a basic delivery destination that is an original delivery destination of the package, acquires a location, at a planned delivery time of the package, of a user that receives the package, and where the location is different from the basic delivery destination, transmits an instruction for delivering the package to the location to the autonomous vehicle.

Abstract: The disclosure is an information processing device that manages an operation of an autonomous vehicle having a loading space in which a parcel is loaded. The information processing device includes a control unit that executes: acquiring operation plan information including a route along which the autonomous vehicle travels when the autonomous vehicle delivers the parcel, and a delivery time for the parcel; and acquiring vacant space information based on the operation plan information, the vacant space information including a traveling section where a vacant space is generated in the loading space of the autonomous vehicle, a time when the vacant space is generated in the loading space of the autonomous vehicle, and the size of the vacant space that is generated in the loading space of the autonomous vehicle.

Abstract: The present disclosure relates to an autonomous traveling vehicle having a loading space for loading a package and/or a user. The autonomous traveling vehicle includes: a partition apparatus for performing switching between a partitioned state where the loading space is partitioned into a plurality of spaces separated from each other and a communicating state where the loading space forms one continuous space; and a control unit that controls the partition apparatus such that the loading space is brought into the communicating state when only any one of the package and the user is loaded in the loading space and the loading space is brought into the partitioned state when both of the package and the user are loaded in the loading space.

Abstract: 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.

Abstract: An information processing system that manages traveling of a plurality of autonomous vehicles when the autonomous vehicles travel in a platoon is provided. Each of the autonomous vehicles is equipped with a motor, and an operation source as a substance consumed for operating the motor. The information processing system includes a controller configured to obtain a parameter correlated with an operation source remaining amount as a remaining amount of the operation source installed on each of the autonomous vehicles, and determine a traveling order of the autonomous vehicles traveling in the platoon, based on the parameter of each of the autonomous vehicles.

Abstract: An annotation device includes: a similarity information obtainer that obtains similarity information indicating whether or not a plurality of labels to be added as annotation data to images are similar to each other; a determiner that determines a layout of the plurality of labels to be displayed on an operation screen for an annotation operation based on the similarity information; a data obtainer communicator that obtains the annotation data added to the images using the operation screen; and an inspector that inspects the annotation data obtained by the second communicator for an erroneously added label.

Abstract: 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

Abstract: 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.

Abstract: A contribution level determination method includes: obtaining, from a first storage device, records of annotation works for each of one or more units of target data for which the annotation works carried out by each of workers that use crowdsourcing have been completed; and calculating work contribution levels for each of worker IDs representing a different one of the workers, in accordance with a predetermined weighting rule stored in a second storage device, by referring to the records. In the calculating of the contribution levels, for each of the one or more units of target data, the work contribution level is calculated using a heavier weight for the worker ID representing a particular worker who carried out the annotation work initially than for the work contribution levels for the worker IDs representing the workers who carried out annotation works after the particular worker, in the order of the annotation works.

Abstract: 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

Abstract: 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.

Abstract: 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.

Abstract: An image processing method includes acquiring consecutive time-series images captured by an onboard camera of a vehicle, having a first annotation indicating two or more first regions, and at least including one or more images in which the two or more first regions are on a path of the vehicle and a distance therebetween is smaller than or equal to a threshold; determining, in reverse chronological order from an image of the last time point, positions of the two or more regions in each consecutive time-series image; identifying, from among the consecutive time-series images, the first image of a first time point in which none of the two or more first regions are located on the path, and setting, as a second region, a region between the two or more first regions in the identified first image; and attaching a second annotation to the first image corresponding to the first time point, the second annotation indicating the second region.

Abstract: A remote-operated working device includes a movement controller that controls movement of the remote-operated working device; a working unit that performs a predetermined work on the work target; a first detector that detects contact between the working unit and the target; and a communicator that transmits a signal for vibrating the remote control to the remote control in a case where contact between the working unit and the work target is detected by the first detector.

Abstract: An image processing method includes acquiring consecutive time-series images captured by an onboard camera and including at least one image having a first annotation indicating a first region; determining, for each of the images, in reverse chronological order from an image of the last time point, whether the first region exists in the image based on whether the first annotation is attached; identifying the first image of a first time point for which the first region is determined not to exist, and setting a second region including a partial region of an object in the identified first image, indicating the moving object that is obstructed by the object before appearing on the path, and having dimensions based on dimensions of the first region in an image of a second time point immediately after the first time point; and attaching a second annotation to the image corresponding to the second time point, the second annotation indicating the second region.

Abstract: Techniques of simplifying a process of performing an annotation process and constructing learning data by using CG data are provided. A learning data generation device generates scene data for generating learning data from scene data of CG data that include various models. In the generation, the models other than a specific object model are deleted from the scene data, the specific object model is made a specific color, and a specific object region of the specific object model is set. Then, the image for scene data and information of the specific object region are associated with each other and stored as the learning data in a second storage unit.