Abstract: An information processing device (10) includes: an acquisition unit (181) that acquires an image captured by an imaging unit (13); a recognition unit (182) that recognizes attributes of an object shown in the image captured by the imaging unit (13); and a generation unit (183) that generates a bird's-eye view map showing the attributes of the object on the basis of the image captured by the imaging unit (13) and information on the attributes of the object recognized by the recognition unit.

Abstract: A recognition processing section performs subject recognition in a processing area of an image obtained by an imaging section. The recognition processing section determines an image characteristic of the processing area on the basis of a characteristic map indicating an image characteristic of the image obtained by the imaging section and uses a recognizer corresponding to the image characteristic of the processing area. The characteristic map includes a map based on an optical characteristic of an imaging lens used in the imaging section and is stored in a characteristic information storage section. An imaging lens has a winder angle of view in all directions or in a predetermined direction than a standard lens, and the optical characteristic thereof differs depending on a position on the lens. The recognition processing section performs the subject recognition using a recognizer corresponding to resolution or skewness of the processing area, for example.

Abstract: An information processing apparatus includes a first self-position estimating section configured to estimate a self-position of a moving body using a visible image, a second self-position estimating section configured to estimate the self-position of the moving body using an infrared image, and a combining section configured to set, based on a situation in which the moving body is placed, a first weight for a first estimation result obtained by self-position estimation using the visible image and a second weight for a second estimation result obtained by self-position estimation using the infrared image, to thereby combine the first estimation result and the second estimation result using the first weight and the second weight. The present technology is applicable to moving bodies, for example, vehicles.

Abstract: The present technique relates to an information processing apparatus, an information processing method, a program, and a mobile body which enable accuracy of detection processing related to a passage around a mobile body to be improved. The information processing apparatus includes: a transforming unit configured to respectively transform a plurality of photographed images with partially overlapping photographing ranges into bird's eye images; a compositing unit configured to generate a composite image by compositing a plurality of the bird's eye images; and a detecting unit configured to perform detection processing related to a passage around a mobile body based on the composite image. For example, the present technique can be applied to an apparatus that detects a lane marking of a road.

Abstract: The present disclosure relates to a signal processing apparatus and a signal processing method, a program, and a moving body that allow improvement of estimation accuracy for a self-position. One of a plurality of wavelengths of light is selected, and the light with the selected wavelength is projected. Reflected light of the projected light is received that is reflected from a reflector corresponding to an object having a reflectance higher than a predetermined reflectance, and the reflector is detected. This prevents interference of light projected by another vehicle, enabling appropriate detection of the reflector and improvement of estimation accuracy for a self-position. The present disclosure is applicable to an in-vehicle system.

Abstract: To improve estimation accuracy of a self-position. Light at a predetermined wavelength is projected. An image of a reflector with a reflectance higher than a predetermined reflectance is taken by receiving reflected light of the projected light reflected by the reflector. Own orientation is estimated on the basis of the taken image of the reflector. As a result, the self-position can be highly accurately estimated on the basis of the reflector even at night. The present disclosure can be applied to an on-board system.

Abstract: To provide a configuration that enables recognition of an unknown object included in an image. The configuration includes a network creation unit that creates a network linking a scene node indicating a scene type of an image and a node corresponding to an object, and an unknown object inference unit that compares a created network created by the network creation unit with a large number of reference networks created by learning processing, selects reference networks similar to the created network, selects, from the selected reference networks, a node corresponding to a node of an unknown object in the created network, and infers that an object associated with the selected node is an object corresponding to the unknown object.

Abstract: The present technology relates to an information processing apparatus, an information processing method, a program, and a moving body, which can improve accuracy of self-position estimation of a moving body. The information processing apparatus includes a feature point detector that detects a feature point in a reference image used for self-position estimation of a moving body, an invariance estimating section that estimates invariance of the feature point, and a map generator that generates a map based on the feature point and the invariance of the feature point. The present technology is applicable to, for example, an apparatus or system, which performs self-position estimation of a moving body, or various kinds of moving bodies such as a vehicle.

Abstract: An information processing apparatus includes a first self-position estimating section configured to estimate a self-position of a moving body using a visible image, a second self-position estimating section configured to estimate the self-position of the moving body using an infrared image, and a combining section configured to set, based on a situation in which the moving body is placed, a first weight for a first estimation result obtained by self-position estimation using the visible image and a second weight for a second estimation result obtained by self-position estimation using the infrared image, to thereby combine the first estimation result and the second estimation result using the first weight and the second weight. The present technology is applicable to moving bodies, for example, vehicles.

Abstract: There is provided methods and apparatus for estimating a position of a movable object. A dynamic reference image is generated based on an environment and a reference image extracted from a map. A position of the movable object is estimated based on the dynamic reference image and an observation image of an area around the movable object.