Abstract: According to an embodiment, a drive control device includes a generation unit configured to generate autonomous driving control information to control a behavior of a mobile object using autonomous driving; a prediction unit configured to predict a behavior of the mobile object when switching from the autonomous driving to manual driving; a determination unit configured to determine a difference between the behavior of the mobile object controlled by the autonomous driving control information and the behavior of the mobile object when the switching to the manual driving is made; an output control unit configured to output information that prompts a driver of the mobile object to select the autonomous driving or the manual driving, when the difference is present; and a power control unit configured to control a power unit of the mobile object using the autonomous driving or the manual driving.

Abstract: An information processing device according to an embodiment includes one or more hardware processors. The processors generate a plurality of nodes at positions corresponding to an operation indicated by an avoidance pattern to avoid a first object on a first trajectory based on one or more avoidance patterns indicating one or more operations of a mobile object for avoiding an object. The processors search for a trajectory candidate whose moving cost is smaller than that of another trajectory candidate among a plurality of trajectory candidates connecting a plurality of nodes for each avoidance pattern. The processors select a trajectory candidate whose moving cost is smaller than that of another trajectory candidate from among one or more trajectory candidates searched for each avoidance pattern.

Abstract: According to an embodiment, a drive control device configured to calculate lane attribute information including at least one of a lane recommendation degree of each lane included in lane information on a road to be traveled, a propriety of traveling each lane, and a target speed in each lane, based on own vehicle information and second vehicle information including position information and speed information on an own vehicle and a second vehicle present at a periphery of the own vehicle, route information, and map information; and determine at least one of a travel lane and a speed of the own vehicle within a range in which safety is guaranteed, using a machine learning model that receives the own vehicle information, the second vehicle information, the route information, the map information, and the lane attribute information, and outputs at least one of a travel lane and a speed.

Abstract: A controller includes one or more processors. The processors acquire first state information indicating a state of an object to be gripped by a robot and second state information indicating a state of a transportation destination of the object. The processors input the first state information and the second state information to a first neural network, and obtain, from output of the first neural network, first output information including a first position indicating a position of the robot and a first posture indicating a posture of the robot when the robot grips the object, and a second position indicating a position of the robot and a second posture indicating a posture of the robot at the transportation destination of the object. The processors control operation of the robot on the basis of the first output information.

Abstract: According to one embodiment, a monitor apparatus includes a memory and processing circuitry. The processing circuitry acquires first information indicating a position and a moving direction of a target, acquires second information indicating a position of each of moving objects and sensors which are provided in the moving objects, selects at least one of a first moving object for monitoring the target from among the moving objects or a first sensor for monitoring the target from among the sensors, based on the first information and the second information, and transmits third information indicating the target and at least one of the first moving object or the first sensor.

Abstract: According to one embodiment, an image processing device includes a subject image acquisition module, a first clothing image acquisition module and a second clothing image generator. The subject image acquisition module is configured to acquire subject images which are images of a subject successively picked up by an image pickup module. The first clothing image acquisition module is configured to acquire a first clothing image which is an image of clothes worn by the subject included in the subject images. The second clothing image generator is configured to adjust transparency of a pixel at a predetermined place of pixels constituting the first clothing image, and generate a second clothing image different from the first clothing image.

Abstract: According to one embodiment, an image processing device includes at least one processor. The at least one processor is configured to acquire a first three-dimensional model regarding a subject, set a plurality of first control points on the first three-dimensional model, acquire mesh data of a meshed image of a region of clothing extracted from a captured image, acquire a second three-dimensional model, modify the mesh data based on an amount of movement from each of the plurality of first control points, to each respective one of a plurality of second control points, and generate an image of the clothing using the captured image and the modified mesh data.

Abstract: According to one embodiment, an image processing apparatus includes a first acquisition module, a receiver, a second acquisition module, a calculator, a generator and an output module. The first acquisition module acquires first model data indicating a shape corresponding to a subject. The receiver receives pose data indicating a pose. The second acquisition module acquires second model data indicating a shape corresponding to a body shape of the subject and the pose indicated by the pose data. The calculator calculates an evaluation value based on the first and second model data. The generator generates notification information based on the evaluation value. The output module outputs the notification information.

Abstract: According to one embodiment, an apparatus for generating an occupancy grid map constituted with a two-dimensional grid around a first moving body includes processing circuitry configured to acquire data of a distance from the first moving body to an obstacle lying in surroundings of the first moving body; acquire first information indicating the movement status of the first moving body at current time and determine an operation mode of the first moving body; set a range of interest in a grid of a resolution higher than a resolution of the grid of the occupancy grid map, from the operation mode; and align the occupancy grid map to the range of interest and generate the occupancy grid map in such a manner that the obstacle exists in the grid of the occupancy grid map and the grid of the range of interest with respect to a position corresponding to the distance data.

Abstract: According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Abstract: According to an embodiment, an object detection system includes an obtaining unit, an estimating unit, a setting unit, a calculating unit, and a detecting unit. The obtaining unit is configured to obtain an image in which an object is captured. The estimating unit is configured to estimate a condition of the object. The setting unit is configured to set, in the image, a plurality of areas that have at least one of a relative positional relationship altered according to the condition and a shape altered according to the condition. The calculating unit is configured to calculate a feature value of an image covering the areas. The detecting unit is configured to compare the calculated feature value with a feature value of a predetermined registered object, and detect the registered object corresponding to the object.

Abstract: According to one embodiment, an information processor includes a memory and processing circuitry. The circuitry receives area information indicating a second area in a first area around a movable body apparatus and third areas in the first area, wherein the movable body apparatus is movable in the second area and an object is present in each of the third areas. The circuitry receives movement information including at least one of a velocity, a movement direction or an acceleration of the apparatus. The circuitry acquires evaluation values each indicative of a damage to be caused when the apparatus collides with each object in the third areas, and determines, based on the evaluation values, a position corresponding to a first object which causes a least damage.

Abstract: According to an embodiment, a first acquirer of an image processing apparatus acquires a subject image of a first subject. A second acquirer acquires a first parameter representing a body type of the first subject. A receiver receives identification information on clothing to be tried on. An identifier identifies a clothing image associated with a second parameter of which dissimilarity with the first parameter is not larger than a threshold, from among clothing images associated with the received identification information in first information in which clothing sizes, second parameters, and clothing images are associated with each piece of identification information. The second parameters corresponds to each clothing size and represents different body types. The clothing images each represents a second subject who has a body type represented by the corresponding second parameter associated with the corresponding clothing size and who is wearing the piece of clothing in each clothing size.

Abstract: A medical image diagnosis apparatus according to an embodiment includes a controller. The controller generates a plurality of candidates for a first cross-sectional image from three-dimensional image data obtained by taking images of a heart. The controller generates, from the three-dimensional image data, one or more second cross-sectional images each of which intersects the candidates for the first cross-sectional image. The controller displays in parallel on a display, the candidates for the first cross-sectional image, as well as the second cross-sectional images on each of which information is superimposed. The information indicates positional relationships between the candidates for the first cross-sectional image and the second cross-sectional image.

Abstract: According to an embodiment, an information processing apparatus includes a memory and processing circuitry. The processing circuitry configured to acquire a deterioration degree of a structure calculated based on an image including the structure captured by an imaging device. The processing circuitry configured to acquire a measurement time, which is a date and time when the image being a basis of calculation of the deterioration degree has been captured. The processing circuitry configured to calculate necessity of additional measurement of the deterioration degree based on a plurality of the deterioration degrees measured at the measurement times different from each other.

Abstract: According to one embodiment, a monitor apparatus includes a memory and processing circuitry. The processing circuitry acquires first information indicating a position and a moving direction of a target, acquires second information indicating a position of each of moving objects and sensors which are provided in the moving objects, selects at least one of a first moving object for monitoring the target from among the moving objects or a first sensor for monitoring the target from among the sensors, based on the first information and the second information, and transmits third information indicating the target and at least one of the first moving object or the first sensor.

Abstract: According to one embodiment, an information processor includes a memory and processing circuitry. The circuitry receives area information indicating a second area in a first area around a movable body apparatus and third areas in the first area, wherein the movable body apparatus is movable in the second area and an object is present in each of the third areas. The circuitry receives movement information including at least one of a velocity, a movement direction or an acceleration of the apparatus. The circuitry acquires evaluation values each indicative of a damage to be caused when the apparatus collides with each object in the third areas, and determines, based on the evaluation values, a position corresponding to a first object which causes a least damage.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to generate, from three-dimensional medical image data, a first cross-sectional image and a second cross-sectional image intersecting the first cross-sectional image and is configured to change display locations of the first cross-sectional image and the second cross-sectional image on a display, in conjunction with a change in an intersecting location of the first and the second cross-sectional images.

Abstract: According to an embodiment, an image processing device includes a first calculator to calculate, when a photographic subject image is determined to satisfy a first condition, a first position of the clothing image such that the position of a feature area matches with the position of the feature area; a second calculator to calculate a second position of the clothing image in the photographic subject image such that the position of a feature point in the clothing image matches with the position of the feature point in the photographic subject image; a deciding unit to decide, when the photographic subject image is determined to satisfy the first condition, on the first position as a superimposition position, and decide, when the photographic subject image is determined not to satisfy the first condition, on the superimposition position based on the difference between the first position and the second position.

Abstract: According to an embodiment, an information processing apparatus includes a hardware processor. The hardware processor is configured to acquire a previous output message from a moving object; acquire surrounding information of the moving object; detect motion information indicating a motion of an object as a destination of the message based on the surrounding information; determine whether the motion of the object indicated by the motion information corresponds to a motion indicated by the message; and update the message based on the motion information when the motion of the object indicated by the motion information is determined not to correspond to the motion indicated by the message.