Abstract: An obstruction detection method includes: determining an exclusion depth pixel; and detecting an obstruction, based on depth pixel(s) other than the exclusion depth pixel. The determining includes performing the following: calculating an average value related to a depth pixel, based on the depth-pixel value of the depth pixel and the depth-pixel value of each of first surrounding depth pixels, and associating the average value with the depth pixel; calculating a normal line, based on the average value associated with the depth pixel and an average value associated with each of second surrounding depth pixels; determining whether an angle formed by the normal line calculated and the normal line of a predetermined reference plane is smaller than or equal to a predetermined angle; and determining the depth pixel as the exclusion depth pixel when the angle is determined to be smaller than or equal to the predetermined angle.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

Abstract: The present invention provides multispecific antigen-binding molecules that comprise a first antigen-binding domain having RNF43-binding activity and a second antigen-binding domain having T cell receptor complex-binding activity, uses of such multispecific antigen-binding molecules, etc. The present inventors discovered novel multispecific antigen-binding molecules with excellent cellular cytotoxicity and high stability, which comprise a first antigen-binding domain having RNF43-binding activity and a second antigen-binding domain having T cell receptor complex-binding activity. Since the molecules of the present invention show a strong cytotoxicity against cells and tissues expressing RNF43, it is possible to produce novel pharmaceutical compositions comprising the multispecific antigen-binding molecules for treating or preventing various cancers.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

Abstract: A distance measuring device includes: a light source that emits irradiation light; a solid-state imaging device that generates, for each of pixels, a plurality of packets that hold signal charges generated at different exposure timings for the irradiation light; and a signal processing circuit that calculates a distance value based on the plurality of packets. For each of the pixels, the signal processing circuit: determines presence or absence of stray light using the plurality of packets corresponding to the pixel; when it is determined that there is no stray light, calculates a distance value of the pixel using a first process; and when it is determined that there is stray light, calculates a distance value of the pixel using a second process different from the first process.

Abstract: An object detection device includes: a light emitter that emits light; a sensor that generates a first pixel signal by exposure to reflected light according to a combination of emission by the light emitter and first exposure and a second pixel signal by exposure to reflected light according to a combination of the emission and second exposure; and a distance calculator that generates a distance image by ratio operation using the first pixel signal and the second pixel signal. Timing of the first exposure is set to timing during which the sensor is not exposed to reflected waves from an object included in a first section in which a distance from the object detection device is from 0 to a predetermined value. A time difference between the emission and the second exposure is greater than a time difference between the emission and the first exposure.

Abstract: An object detecting device includes: a first luminance obtainer and a distance obtainer that obtain a first luminance image and a depth image, respectively; a first clustering unit that generates a group that is a set of pixels taken as the same object in the depth image, and determines that the group is a cluster when a total number of pixels included in the group is at least a first threshold; a second clustering unit that determines that the group is a cluster, when (i) the total number of pixels included in the group is less than the first threshold and (ii) luminance of a pixel group in the first luminance image which corresponds to the group is at least a second threshold; and a 3D object detector that generates 3D object information indicating an object in the depth image which is detected based on the cluster.

Abstract: An object detection apparatus includes an input port that receives information on a plurality of objects in surroundings of a vehicle and information on a traffic environment of the vehicle, the plurality of objects being detected by a sensor installed on the vehicle, a controller that determines, based on the information on the plurality of objects and the information on the traffic environment, priority for each of the plurality of objects and determines first information based on the priority in a case where the total amount of information on the plurality of objects is greater than a determined value, the first information being information on part of the plurality of objects, and an output port that outputs the first information to an in-vehicle apparatus that controls the vehicle.

Abstract: A depth acquisition device includes memory and processor performing: acquiring, from the memory, intensities of infrared light emitted from a light source and measured by imaging with the infrared light reflected on a subject by pixels in an imaging element; generating a depth image by calculating a distance to the subject as a depth for each pixel based on an intensity received by the pixel; acquiring, from the memory, a visible light image generated by imaging, with visible light, a substantially same scene with a substantially same viewpoint and at a substantially same timing as those of imaging the infrared light image; detecting, from the visible light image, an edge region including an edge along a direction perpendicular to a direction of movement of the visible light image; and correcting, in the depth image, a depth of a target region corresponding to the edge region in the depth image.

Abstract: A depth acquisition device includes memory and processor performing: acquiring, from the memory, intensities of infrared light emitted from a light source and measured by imaging with the infrared light reflected on a subject by pixels in an imaging element; generating a depth image by calculating a distance to the subject as a depth for each pixel based on an intensity received by the pixel; acquiring, from the memory, a visible light image generated by imaging, with visible light, a substantially same scene with a substantially same viewpoint and at a substantially same timing as those of imaging the infrared light image; detecting, from the visible light image, an edge region including an edge along a direction perpendicular to a direction of movement of the visible light image; and correcting, in the depth image, a depth of a target region corresponding to the edge region in the depth image.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs; acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring an infrared light image stored in the memory, the infrared light image being generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring a visible light image stored in the memory, the visible light image being generated by imaging a substantially same scene as that of the infrared light image, with visible light from a substantially same viewpoint and at a substantially same imaging time of those of the infrared light image; detecting a dust region showing dust from the infrared light image; and estimating a depth of the dust region based on the infrared light image, the visible light image, and the dust region.

Abstract: A depth acquisition device includes a memory and a processor performing: acquiring, from the memory, intensities of infrared light measured by imaging with infrared light emitted from a light source and reflected on a subject by pixels in an imaging element; generating a depth image by calculating the distance for each pixel based on the intensities; acquiring, from the memory, a visible light image generated by imaging, with visible light, the substantially same scene from the substantially same viewpoint at the substantially same timing as those of the infrared light image; detecting a lower reflection region showing an object having a lower reflectivity from the infrared light image in accordance with the infrared light image and the visible light image; correcting a corresponding lower reflection region in the depth image in accordance with the visible light image; and outputting the depth image with the corrected lower reflection region.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

Abstract: A depth acquisition device includes a memory and a processor performing: acquiring, from the memory, intensities of infrared light measured by imaging with infrared light emitted from a light source and reflected on a subject by pixels in an imaging element; generating a depth image by calculating the distance for each pixel based on the intensities; acquiring, from the memory, a visible light image generated by imaging, with visible light, the substantially same scene from the substantially same viewpoint at the substantially same timing as those of the infrared light image; detecting a lower reflection region showing an object having a lower reflectivity from the infrared light image in accordance with the infrared light image and the visible light image; correcting a corresponding lower reflection region in the depth image in accordance with the visible light image; and outputting the depth image with the corrected lower reflection region.

Abstract: A depth acquisition device includes memory and processor performing: acquiring, from the memory, intensities of infrared light emitted from a light source and measured by imaging with the infrared light reflected on a subject by pixels in an imaging element; generating a depth image by calculating a distance to the subject as a depth for each pixel based on an intensity received by the pixel; acquiring, from the memory, a visible light image generated by imaging, with visible light, a substantially same scene with a substantially same viewpoint and at a substantially same timing as those of imaging the infrared light image; detecting, from the visible light image, an edge region including an edge along a direction perpendicular to a direction of movement of the visible light image; and correcting, in the depth image, a depth of a target region corresponding to the edge region in the depth image.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs; acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring an infrared light image stored in the memory, the infrared light image being generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring a visible light image stored in the memory, the visible light image being generated by imaging a substantially same scene as that of the infrared light image, with visible light from a substantially same viewpoint and at a substantially same imaging time of those of the infrared light image; detecting a dust region showing dust from the infrared light image; and estimating a depth of the dust region based on the infrared light image, the visible light image, and the dust region.

Abstract: A driving lane detection device of the present disclosure includes: an object detector, a vehicle detector, and a driving lane detector. The object detector generates object data relating to a distance and direction from the vehicle to an object and a movement direction of the object based on one or more reflection waves that are a radar signal transmitted by a radar device and reflected by the one or more object. The vehicle detector detects each object as at least one of a parallel-running vehicle running in a same direction as the vehicle or an oncoming vehicle running in an opposite direction to the vehicle, based on the object data. The driving lane detector detects a driving lane based on the distance and direction from the vehicle to at least one of the detected parallel-running and the detected oncoming vehicles and lane information on at least one of lane widths and a number of lanes of a road on which the vehicle is running.

Abstract: The master apparatus includes a communicator that transmits a command to the one or more slave apparatuses in the first communication method, and that transmits a trigger to the one or more slave apparatuses and receives data that is transmitted by the one or more slave apparatuses in response to the trigger in the second communication method, and a controller that controls the communicator during execution of the first communication method to read negotiation information that indicates conditions for the second communication method from a memory and to transmit the negotiation information to the one or more slave apparatuses, wherein upon completion of communication that satisfies the conditions after the first communication method is switched to the second communication method, the controller performs switching from the second communication method to the first communication method.