Abstract:
A location estimating apparatus according to an embodiment includes a degree-of-similarity calculator, a correspondence calculator, and a location calculator. The degree-of-similarity calculator calculates a degree of similarity between the input image and the reference image by an arithmetic operation that varies, in a non-discrete manner, the degree of similarity in accordance with a non-discrete variation of a first parameter. The correspondence calculator calculates correspondence between a pixel of the input image and a pixel of the reference image by an arithmetic operation that varies, in a non-discrete manner, the correspondence in accordance with a non-discrete variation of a second parameter. The location calculator calculates a first location indicating a position and/or an orientation of the first imaging device when the input image is captured by an arithmetic operation that varies, in a non-discrete manner, the first location in accordance with a non-discrete variation of the correspondence.
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:
According to an embodiment, a computational device includes a memory and a processor. The processor receives an input of tensor data. The processor locates a first area on the tensor data. The processor maps the coordinates within the first area on the tensor data and to acquire a second area including corresponding coordinates which the coordinates within the first area on the tensor data are mapped to. The processor calculates a higher-order statistic between the first area and the second area. The processor outputs the higher-order statistic.
Abstract:
According to an embodiment, an information processing device is used for controlling a mobile object. The device includes one or more hardware processors configured to: generate risk information indicating a level of a risk that is caused when the mobile object moves, based at least in part on a position of an obstacle with respect to the mobile object, the risk being indicated for each of a plurality of areas; and generate condition information indicating a condition for performing a countermeasure operation for a risk in accordance with the risk information.
Abstract:
According to an embodiment, an information processing device includes one or more processors. The one or more processors is configured to acquire a map in which, for each of grids in a particular space, observation information representing object information on an object or the observation information representing non-observation information on non-observation of the object is correlated; and correct, for each of the grids, correlation of the observation information by using a learned model based on the observation information correlated with other peripheral grids.
Abstract:
According to an embodiment, an information processing device includes a memory and processing circuitry. The processing circuitry is configured to acquire a peripheral image of a moving object, set a cell in response to a plurality of traveling candidate lines of the moving object in a peripheral area of the moving object, specify a type of an object included in the cell using one or more partitioned areas smaller than the cell included in the peripheral image, and determine whether or not the moving object can progress for the cell based on the type of the object.
Abstract:
According to an embodiment, an information processing apparatus includes a memory and processing circuitry. The processing circuitry is configured to acquire three-dimensional position information of a detection point, acquire target surface shape information indicating a shape of a target surface, and calculate state information of an object according to a first distance of the detection point from the target surface on the basis of the three-dimensional position information and the target surface shape information.
Abstract:
According to an embodiment, an information processing apparatus includes a memory and processing circuitry. The processing circuitry configured to acquire a captured image of an object on a first plane. The processing circuitry configured to detect a position and a size of the object in the captured image. The processing circuitry configured to determine, based on the position and the size of the object in the captured image, a mapping relation representing a relation between the position of the object in the captured image and a position of the object in a virtual plane that is the first plane when viewed from a predetermined direction. The processing circuitry configured to convert the position of the object in the captured image into the position of the object on the virtual plane, based on the mapping relation.
Abstract:
According to an embodiment, an image processing device includes an image acquirer, a tracker, an extractor, a feature amount acquirer, and an association controller. The image acquirer is configured to acquire a time series of images from each imaging device. The tracker is configured to track a position of an object in the time series of images. The extractor is configured to extract, from the time series of images, an observed value corresponding to a feature value in each of regions into which the time series of images is divided depending on a distance from the imaging device. The feature amount acquirer is configured to acquire a feature amount based on a deviation value of the observed value in a feature value distribution for the region. The association controller is configured to associate the tracked objects among multiple time series of images acquired from the imaging devices by using the feature amount.