Abstract: An information processing device includes a change information acquisition unit, and, when an appearance state is determined, using change information, to have changed, at least one of a training unit and a notification control unit. The change information acquisition unit acquires change information. The training unit trains a machine learning model using a plurality of sets of training data in which a training image including a target region after a change in the appearance state and a moving object is associated with a correct answer label. The notification control unit notifies an administrator of training request information for training the machine learning model.

Abstract: An information processing device used to move a moving object that is capable of moving by unmanned driving includes an accuracy acquisition unit, a training data acquisition unit, and a training unit. The accuracy acquisition unit acquires an accuracy of a machine learning model. The training data acquisition unit acquires a training data group used to train the machine learning model when the accuracy is less than a predetermined threshold. The training unit performs a training process for training the machine learning model using the training data group.

Abstract: A method comprises: acquiring a moving route of a moving object; generating a superimposed image by superimposing an image or three-dimensional data representing the moving object and an image or three-dimensional data representing an environment related to moving including the moving route on each other; acquiring a label information about the location and position of the moving object; and generating a learning data set including the superimposed image and the label information.

Abstract: A control device is configured to control movement of a mobile object that can travel by driverless driving and that is transported in a process of manufacturing the mobile object. The control device includes a control command section configured to generate and output a control command to cause the mobile object to move. The control command section is configured to generate the control command by using vehicle state information that is information related to at least one of: magnitude of impact force applied to the mobile object; a direction in which the impact force acts; weight of the mobile object; weight of a trailer configured to carry a part and configured to be removably coupled to the mobile object and move, the part being configured to be attached to the mobile object; and a process in which the mobile object is positioned.

Abstract: A remote control system for automatically moving a moving object by remote control, comprising a plurality of functional units that transmit and receive information to and from each other, wherein at least a part of the plurality of functional units detects the presence or absence of an abnormality in another functional unit by using information received from another functional unit.

Abstract: A position estimation system, a position estimation method, and a program that can estimate a position of a moving body without installing an installation object on the moving body are provided. A position estimation system includes a detection unit configured to generate a first mask image, a mask area masking a moving body in an image photographed being added to the first mask image, a perspective transformation unit configured to perform perspective transformation on the first mask image, and a position calculation unit configured to correct a coordinate point of a first circumscribed rectangle set for a mask area in the first mask image using a second coordinate point of the mask area in the second mask image, which is obtained by performing perspective transformation on the first mask, to calculate a third coordinate point.