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 visible light communication apparatus according to the present disclosure includes an acquisition section configured to acquire an image captured by a sensor included in a mobile object, a first extraction section configured to detect an object included in the image and extract a first region that includes the object, a second extraction section configured to detect a light source from inside the first region and extract a second region that includes the light source, and a visible light communication section configured to perform visible light communication with the light source included in the second region.

Abstract: A device and a method that enable safe driving by performing object recognition using image analysis and inter-vehicle communication information are implemented. Provided are an image analysis unit that analyzes an image captured by a vehicle-mounted camera and performs object recognition in the image, an unknown object identification unit that identifies an unknown object in an image area determined to be an unknown object area as a result of analysis by the image analysis unit, and a communication unit that transmits information to an unknown object such as a second vehicle identified by the unknown object identification unit. The unknown object identification unit identifies the second vehicle, which is an unknown object in the image area determined to be the unknown object area, using the peripheral object information received through the communication unit. The communication unit transmits unknown object information or control information for travel control of the second vehicle to the second vehicle.

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: 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.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region; a first unit-of-readout setting unit that sets a first unit of readout that is used for reading out the pixel signal from the pixel region for a recognition process that has learned training data for each of the units of readout; a second unit-of-readout setting unit that sets a second unit of readout that is used for reading out the pixel signal from the pixel region so as to output the pixel signal to a subsequent stage; and a mediation unit that performs mediation between the first unit of readout and the second unit of readout.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and that reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region: a recognition unit that has learned training data for each of units of readout; a first output unit that outputs a recognition result of recognition performed by the recognition unit for each of the units of readout; a second output unit that outputs the pixel signal to a subsequent stage; and a trigger generator that generates a trigger signal for controlling a first timing at which the first output unit outputs the recognition result and a second timing at which the second output unit outputs the pixel signal.

Abstract: An imaging apparatus according to an embodiment includes: an imaging unit (10) having a pixel region in which a plurality of pixels is arranged; a readout controller (11) that controls readout of pixel signals from pixels included in the pixel region; a unit-of-readout controller (123) that controls a unit of readout that is set as a part of the pixel region and for which the readout controller performs the readout; and a recognition unit (14) that has learned training data for each of the units of readout. The recognition unit performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result which is a result of the recognition process.

Abstract: An imaging apparatus according to an embodiment includes: an imaging unit having a pixel region in which a plurality of pixels is arranged; a readout controller that controls readout of pixel signals from pixels included in the pixel region; a first unit-of-readout setting unit that sets a unit of readout as a part of the pixel region, for which the readout controller performs readout of the pixel signal; an image output unit that outputs a first image based on the pixel signal read out from the unit of readout to a subsequent stage; a second unit-of-readout controller that controls the unit of readout in which the readout controller performs readout of the pixel signal; and a recognition unit that learns training data for each of the units of readout, performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result.

Abstract: Where a highly accurate image analysis is required, for example, only RAW images selected according to specified conditions are selected and transmitted to a server. There are provided an imaging unit that is mounted on a movable device, an image signal processor that generates a color image by signal processing of the RAW image which is an output of an imaging element of the imaging unit, an image analysis unit that executes analysis processing of the color image, a transmission necessity determination unit that determines transmission necessity of the RAW image to the server, and a transmission unit that transmits the RAW image to the external server according to a determination result. The transmission necessity determination unit decides the transmission necessity of the RAW image on the basis of a transmission timing control at constant intervals, imaging and signal processing parameters, an image analysis result, device information, or the like.

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 photographing apparatus, a lighting apparatus, and a mobile body which enable accuracy of image recognition processing to be improved. The information processing apparatus includes: a recognizing portion configured to perform image recognition processing with respect to an image photographed by a photographing portion and calculate, for each recognized area being an area based on a recognition result of an object, a reliability of the recognition result; and an irradiation control portion configured to control an irradiation pattern of visible light in a photographing direction of the photographing portion so that the reliability with respect to at least a part of the recognized areas increases. For example, the present technique can be applied to a vehicle control apparatus.

Abstract: The present technology relates to an image processing apparatus, an image processing method, a mobile device, and a program that enable accurate distance measurement.

Abstract: The present invention provides the following method for forming a multilayer coating film. The method comprises forming an uncured coating film of a specific primer paint composition (A) on a substrate, forming a top coating film of a specific top paint composition (B) on the uncured coating film, and simultaneously drying the films. The primer paint composition (A) is a paint composition comprising an epoxy resin (a1), a rust preventive pigment (a2), a color pigment (a3), and an extender pigment (a4); and the top paint composition (B) is a paint composition comprising an acrylic resin (b1) and an active methylene blocked polyisocyanate compound (b2).

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: 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: A recognition control unit 40 detects a light amount of an imaging area on the basis of an image signal from a camera unit 20, a control signal from a camera control unit 30, and the like, and generates selection determination information on the basis of a detection result of the light amount. A recognition processing unit 50 performs area division on an image of an imaging area generated by the camera unit 20 on the basis of the selection determination information generated by the recognition control unit 40, and selects a recognizer for each area. Moreover, the recognition processing unit 50 performs a subject recognition process on an image of the corresponding area by using the selected recognizer. Even when a captured image includes a bright area and a dark area, a subject in each area can be easily and accurately recognized.

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.