Sony Group Corporation

Sony Corporation

Shun Lee

Masahiko Toyoshi

Shinichiro Abe

Takuto Motoyama

Keitaro Yamamoto

Kohei Urushido

Kenta Kawamoto

Kenichiro Oi

Masaki Handa

Shohei Yamamoto

Kazumi Aoyama

Takayoshi Takayanagi

Ryuta Satoh

An information processing apparatus includes a Central Processing Unit (CPU) that detects a crowd based on images and location information, receives event information from a server, generates crowd information based on the detected crowd and the event information received from the server, and generates a cost map indicating a risk of passing through a region based on the crowd information.

Information processing apparatus and information processing method for generating crowd-avoidance path plans

A collision with another moving object is prevented. An information processing device of the present disclosure includes: an imaging unit which acquires image data by capturing an image of an environment including a traveling direction of a moving object; and a control unit which detects another moving object existing in the traveling direction of the moving object on the basis of the image data and performs an action of preventing a collision with the other moving object on the basis of information regarding the other moving object.

Information processing device, method, computer program, and communication system

The present disclosure relates to an information processing apparatus, an information processing method, a program, and an information processing system capable of more easily realizing route planning. A route planning unit selects, on the basis of priority information regarding setting of the moving route, a viaport where a moving object stops over from among a plurality of charging ports that charges the moving object, and sets a moving route of a moving object from a departure point to a destination. The technology according to the present disclosure can be applied to, for example, an information processing apparatus that performs automatic piloting of a drone.

Information processing apparatus, information processing method, program, and information processing system

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.

Information processing apparatus and information processing method

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.

Action control device and action control method, and program

A controller includes an acquisition unit that acquires image data captured by an imaging device for photographing disposed in a moving body, and a calculation unit that calculates a relative position of a position of a subject, which is detected by a plurality of distance-measuring imaging devices provided in the moving body, based on the subject included in the image data.

Controller and control method

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.

Information processing apparatus, information processing method, program, and flight object

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.

Control apparatus and control method for specular object detection based on an unmanned aerial vehicle's reflection

An information processing apparatus according to an embodiment of the present technology includes an acquisition unit and an execution unit. The acquisition unit acquires a plurality of estimation images captured from an identical spot under a plurality of exposure conditions different from each other, to estimate mobile object information including at least one of a location or a posture of a mobile object. The execution unit executes a process regarding estimation of the mobile object information on the basis of the plurality of acquired estimation images.

Information processing apparatus, information processing method, and mobile object

A comparison area detection unit of image processing circuitry detects an image area of a fading determination object on the basis of an image signal generated by an image capturing unit using a color filter as a comparison area. A color information generation unit generates color information from the image signal of the comparison area and uses the color information as comparison target information. A color information comparison unit compares the color information of the fading determination object as fading determination reference information with the comparison target information. A fading information generation unit generates fading information indicating that a fading level of the color filter exceeds a predetermined level or the fading level of the color filter on the basis of comparison information indicating a comparison result between the fading determination reference information and the comparison target information. The fading state of the color filter can be detected with precision.

Image processing device, image processing method, and program

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.

Signal processing apparatus and signal processing method, program, and moving body

The present technology relates to an exposure control device, an exposure control method, a program, an imaging device, and a mobile body that allow for appropriate exposure control. The exposure control device includes: a wave-detection unit that calculates a wave-detection value, in a captured image taken by an imaging unit, by assigning a smaller weight to an area that is predicted to go out of an angle of view of the imaging unit within a predetermined time; and an exposure control unit that performs exposure control of the imaging unit on the basis of the wave-detection value. The present technology can be applied to, for example, an imaging device or an imaging system provided in a mobile body such as a vehicle, a robot, or the like.

Exposure control device, exposure control method, program, imaging device, and mobile body

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.

Information processing apparatus, information processing method, program, and movable object

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.

Signal processing apparatus, signal processing method, program, and moving body

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.

Growing community of inventors

Saitama, Japan

Shun Lee