Abstract: A configuration is described that is capable of determining a target landing position of a drone according to a sentence indicating a landing position generated by a user.

Abstract: An aerial vehicle according to an embodiment of the present technology includes a recording unit, a detection unit, and a reproduction unit. The recording unit records a flight parameter during flight in a state in which no sensor abnormality is detected. The detection unit detects the sensor abnormality. The reproduction unit reproduces the flight parameter on the basis of the sensor abnormality detected by the detection unit.

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: To enable high-speed autonomous flight of a flight object. A three-dimensional real-time observation result is generated on the basis of self-position estimation information and three-dimensional distance measurement information. A prior map corresponding to a three-dimensional real-time observation result is acquired. The three-dimensional real-time observation result and the prior map are aligned. After the alignment, the three-dimensional real-time observation result is expanded on the basis of the prior map. A flight route is set on the basis of the three-dimensional real-time observation result having been expanded. In the flight object such as a drone, a somewhat long flight route can be accurately calculated at a time in a global behavior plan, which enables high-speed autonomous flight of the flight object.

Abstract: To enable high-speed autonomous flight of a flight object. A three-dimensional real-time observation result is generated on the basis of self-position estimation information and three-dimensional distance measurement information. A prior map corresponding to a three-dimensional real-time observation result is acquired. The three-dimensional real-time observation result and the prior map are aligned. After the alignment, the three-dimensional real-time observation result is expanded on the basis of the prior map. A flight route is set on the basis of the three-dimensional real-time observation result having been expanded. In the flight object such as a drone, a somewhat long flight route can be accurately calculated at a time in a global behavior plan, which enables high-speed autonomous flight of the flight object.

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: A control apparatus includes an acquisition unit that acquires captured data in which an object around a moving object is captured by an imaging unit, where the moving object is one of a moving object that is irradiated with spontaneous emission light and a moving object that moves with a predetermined pattern, and a determination unit that determines that the object is an obstacle if the captured data acquired by the acquisition unit includes a specific pattern.

Abstract: Provided is an information processing device that includes an acquisition unit that acquires an image captured by an imaging unit, a recognition unit that recognizes attributes of an object shown in the image captured by the imaging unit, and a generation unit 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 and information on the attributes of the object recognized by the recognition unit.

Abstract: To enable high-speed autonomous flight of a flight object. A three-dimensional real-time observation result is generated on the basis of self-position estimation information and three-dimensional distance measurement information. A prior map corresponding to a three-dimensional real-time observation result is acquired. The three-dimensional real-time observation result and the prior map are aligned. After the alignment, the three-dimensional real-time observation result is expanded on the basis of the prior map. A flight route is set on the basis of the three-dimensional real-time observation result having been expanded. In the flight object such as a drone, a somewhat long flight route can be accurately calculated at a time in a global behavior plan, which enables high-speed autonomous flight of the flight object.

Abstract: An information processing apparatus includes: a plurality of stereo cameras arranged so that directions of baseline lengths of the stereo cameras intersect each other; a depth estimation unit that estimates, from captured images captured by the plurality of stereo cameras, a depth of an object included in the captured images; and an object detection unit that detects the object based on the depth estimated by the depth estimation unit and reliability of the depth, the reliability being determined in accordance with an angle of a direction of an edge line of the object with respect to the directions of the baseline lengths of the plurality of stereo cameras.

Abstract: The present disclosure relates to an information processing device, an information processing method, and a program that cause a high-speed moving body to appropriately plan a trajectory. A position and distance of an object can be appropriately recognized by extracting feature points in association with a semantic label that is an object certification result by semantic segmentation, connecting feature points of the same semantic label, and forming a Delaunay mesh to form a mesh for each same object, and then a trajectory is planned. The present disclosure can be applied to a moving body.

Abstract: An information processing device includes a map creating unit that creates a map of a travel range, which is a range over which a mobile body having an image-capturing device performs photography while travelling, a shape extracting unit that extracts a shape present in the map, a composition setting unit that sets a composition of an image to be photographed by the image-capturing device, and a route deciding unit that decides a travel route in the travel range of the mobile body on the basis of the shape and the composition.

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: The present disclosure relates to action control device and an action control method and a program that enable more appropriate action control to be achieved. An EKF processing unit selects a self-position estimation unit used to estimate a position of a drone from a plurality of the self-position estimation units which is different in estimation accuracy on the basis of waypoints that are indexes when the drone acts, and obtains a state of the drone. Then, a navigator controls an action of the drone according to an action plan created in advance on the basis of the state of the drone. The present technology can be applied to, for example, a mission flight control device that controls a mission flight of a drone.

Abstract: The present technology relates to a moving body, a control method thereof, and a program capable of accurately detecting and avoiding a linear object that can be an obstacle in movement. The moving body detects a line segment in a captured image captured by at least one camera of a stereo camera, and moves a machine body to which the stereo camera is fixed in a direction orthogonal to the line segment. The present technology can be applied to, for example, a moving body and the like that perform autonomous flight, such as a drone.

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.

Abstract: A controller (100) includes: an acquisition unit (121) that acquires image data captured by an imaging device (10) for photographing disposed in a moving body; and a calculation unit (127) that calculates a relative position of a position of a subject, which is detected by a plurality of distance-measuring imaging devices (20-1, 20-2, 20-3, and 20-4) provided in the moving body, based on the subject included in the image data.

Abstract: A control apparatus (100) includes an acquisition unit (121) that acquires captured data in which an object around a moving object is captured by an imaging unit, where the moving object is one of a moving object that is irradiated with spontaneous emission light and a mobbing object that moves with a predetermined pattern, and a determination unit (122) that determines that the object is an obstacle if the captured data acquired by the acquisition unit (121) includes a specific pattern.

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: 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.