Abstract: Disclosed is a sound source detection device 1 which compares information of sound collected by sound collectors 13, 14, 15, and 16 to detect a predetermined sound source. The sound source detection device 1 includes a target determination unit 22 which arranges sound collectors at the same distance from a noise source inside a mobile object to determine a detection-target region of a sound source, and a sound source detection unit 25 which detects the direction of the predetermined sound source using information of sound of the detection-target region determined by the target determination unit 22. Accordingly, the sound source detection unit 25 does not determine sound input to the sound collectors 13, 14, 15, and 16 at the same timing as a detection target, making it possible to eliminate the influence of a noise source other than a sound source inside the mobile object in advance.

Abstract: A vehicle control apparatus includes a lane recognition unit configured to recognize a travel lane, a travel control unit configured to control the travelling of the vehicle such that the driving state of the vehicle becomes autonomous driving, a system margin time estimation unit configured to estimate a system margin time which is a time taken for the control of the travelling of the vehicle by the travel control unit to stop, a hand-over time estimation unit configured to estimate a hand-over time which is a time for a driver to be able to return the driving state to manual driving, and an HMI control unit configured to display the system margin time and the hand-over time on a display unit.

Abstract: A system for presenting information to an occupant of a vehicle mounted with an autonomous driving system, includes: a display unit configured to display the information; a display control unit configured to cause the display unit to display information in any one of display modes among a setting status display mode in which setting information is displayed, an operation status display mode in which travel information is displayed, and a recognition status display mode in which recognition result information of the autonomous driving system is displayed; and an acquisition unit configured to acquire an occupant's display mode switching instruction for switching the display mode, wherein the display control unit configured to switch the display mode of the display unit when the acquisition unit acquires the occupant's display mode switching instruction.

Abstract: A learning unit generates a function table indicating the relationship between the class number and position information of an object and the probability of appearance of the object for each small area image pattern of a code book, calculates a sharing matrix indicating the commonality of a feature amount between the classes, makes a tree diagram in which the classes with a similar feature amount are clustered, and calculates the weight of each node in the tree diagram for each small area image pattern. The recognition processing unit compares image data captured by a camera with the code book, selects the closest small area image pattern, extracts the class related to the node with the smallest weight among the nodes with a weight equal to or greater than a threshold value, and votes the position information of the small area image pattern for the class, thereby recognizing the object.

Abstract: A subject is to provide a pedestrian motion predicting device capable of accurately predicting a possibility of a rush out before a pedestrian actually begins to rush out. According to the embodiments, the pedestrian is detected from input image data, a portion in which the detected pedestrian is imaged is cut out from the image data, a shape of the pedestrian imaged in the cut-out partial image data is classified by collating the shape with a learning-finished identifier group or a pedestrian recognition template group, and the rush out of the pedestrian is predicted based on a result of the acquired classification.

Abstract: A distance measuring apparatus (11) optically detects a measuring target, thereby measuring an object distance, which is the distance to the measuring target. The orientation of an optical axis of a lens is set to be different from an advancing direction of light incident from the measuring target. The lens is configured to form an image from the incident light, thereby obtaining an image of the measuring target.

Abstract: A sound collecting unit (10) mounted on a vehicle is configured to collect sounds, a frequency resolution unit (21c) is configured to perform frequency analysis on the collected sound information, and when an object around the vehicle is detected based on a frequency characteristic of the sound information, a traveling sound detecting unit (21d) is configured to perform object detection such that object detection using a predetermined frequency band when a sound pressure of the predetermined frequency band is high in a frequency characteristic of a sound reproduced from a reproduction unit (11) mounted on the vehicle is more suppressed than object detection using a predetermined frequency band when a sound pressure of the predetermined frequency band is low in the frequency characteristic of the sound reproduced from a reproduction unit (11).

Abstract: The invention detects a change in a subject by detecting the subject from an image, acquiring a feature quantity distribution that indicates shape information of the detected subject, accumulating the shape information that is indicated by the acquired feature quantity distribution and comparing the shape information a predetermined period of time before with the current shape information by using the accumulated shape information. Here, the invention acquires the feature quantity distribution of the subject from a processing target area extracted from an image area that includes the subject. The invention detects a change in the subject by using accumulated shape change information acquired from the shape information. The invention detects a change in the subject by using averaged shape change information obtained by averaging the shape change information.

Abstract: A spectrum measurement device that recognizes objects to be measured on the basis of spectral data of observed light that is detected by a spectrum sensor capable of measuring wavelength information and light intensity information. The spectrum measurement device comprises a lighting device capable of projecting light that includes a wavelength region with a high atmospheric absorption index and recognizes the distance from a vehicle to an object to be measured through a computation that uses spectral data of observed light that is obtained from the object to be measured whereupon light of at least the wavelength region with the high atmospheric absorption index is projected.

Abstract: A sound source detecting system that detects a predetermined sound source on the basis of sounds collected by sound collectors includes: a noise extracting unit that extracts a noise from signals of the collected sounds; and a noise suppressing unit that suppresses a signal component of the noise extracted by the noise extracting unit from the signals of the collected sounds. The sound source detecting unit detects a location of the predetermined sound source, such as an approaching vehicle, using information about the sounds having the signals of which the noise is suppressed.

Abstract: A spectrometer recognizes a measurement target on the basis of the spectral data set of observed light detected by a spectral sensor capable of measuring wavelength information and light intensity information. The spectrometer is provided with a spectral data processor. Spectral data sets are detected at two different positions by the spectral sensor, and the processor subtracts a first spectral data set from a second spectral data set, or divides the first spectral data set by the second spectral data set to calculate one phase correlation spectral data set, which is correlated to the spectral data sets at the two different positions. The processor simultaneously identifies the measurement target corresponding to the two different positions on the basis of the correlation spectral data set.

Abstract: A sound detection device is provided in a moving body and includes a sound detection unit configured to detect an ambient sound of the moving body and a determination unit configured to determine at least one of the presence of a sound source to be detected around the moving body, the approach of the sound source to the moving body, and the separation of the sound source from the moving body, on the basis of a degree of correlation between sound pressure information of a first preset frequency band in the ambient sound detected by the sound detection unit and sound pressure information of a second frequency band different from the first frequency band in the ambient sound detected by the sound detection unit.

Abstract: A movable body spectrum measuring apparatus includes a spectrum sensor mounted in a movable body to measure spectrum data containing information including wavelength information and optical intensity information of a measuring object, a processor mounted in the movable body to discriminate the measuring object by processing the measured spectrum data, and a signal transmission path for transmitting the measured spectrum data from the spectrum sensor to the processor. The movable body spectrum measuring apparatus further includes a data transfer device which acquires reconfigured spectrum data by reconfiguring the measured spectrum data so that selected information as predetermined information is selected from the information contained in the measured spectrum data. The data transfer device transfers the reconfigured spectrum data to the processor via the signal transmission path.

Abstract: An approaching vehicle detecting system that detects an approaching vehicle on the basis of sounds collected by a plurality of sound collectors mounted on a host vehicle determines whether a transverse moving direction of a sound source detected by the plurality of sound collectors is a direction approaching the host vehicle, determines whether a vertical position of the sound source detected using the plurality of sound collectors is in the same plane as that of the host vehicle, and detects that sound source as the approaching vehicle when it is determined that the transverse moving direction of the sound source is the direction approaching the host vehicle and the vertical position of the sound source is in the same plane as that of the host vehicle.

Abstract: A sound source detection system for detecting a sound source (e.g., running sound of a vehicle) based on sound collected by microphones extracts characteristic amounts from the sound collected by the microphones, sets a plurality of classes according to the position of the sound source by a multi-class pattern recognition method (e.g., multi-class SVM) using the characteristic amounts, extracts characteristic amounts from sound collected by the microphones for detection of a sound source, determines a class to which the extracted characteristic amounts belong, from the preset plurality of classes, and estimates the sound source based on the class.

Abstract: A discriminator generation device 10 includes a feature quantity extraction unit 13 which, using at least two pattern groups having patterns of different sizes for a detection object, extracts a feature quantity of patterns configuring each pattern group, and a discriminator generation unit 14 which generates a discriminator for detecting a detection object of a size corresponding to each pattern group in an image based on the feature quantity of the patterns of each pattern group.

Abstract: Disclosed is a spectrum measuring apparatus for shortening such a measurement time period for an object being measured including two or more mutually different measurement portions as is required for the spectrum measurements of the lights from individual measurement portions. The spectrum measuring apparatus comprises a slit group having two or more slits, a spectroscope for separating the lights extracted by the slit group, for the individual slits, and a measuring unit for measuring the intensities of the individual components, which are separated by the spectroscope, for the slits. The individual slits extract such ones of the lights coming from an object being measured including two or more mutually different measurement portions, as come from the individual measurement portions.

Abstract: Disclosed is a noise model generation device that generates a noise model suitable for each environment by determining whether an sound source of a detection target is included in sound information collected by an sound collector with high accuracy. The noise model generation device generates a noise model relating to noise information other than the sound source of the detection target included in the sound information collected by the sound collector, which acquires a power spectrum from the sound information; determines whether the sound source of the detection target is included in the sound information collected by evaluating a probability density distribution (histogram) of the power spectrum; and generates a noise model from the collected sound information when it is determined that the sound source of the detection target is not included in the collected sound information.

Abstract: A method (100) and system (300) is described for processing video data comprising a plurality of images. The method (100) comprising obtaining (104, 106), for each of the plurality of images, a segmentation in a plurality of regions and a set of keypoints, and tracking (108) at least one region between a first image and a subsequent image resulting in a matched region in the subsequent image taking into account a matching between keypoints in the first image and the subsequent image. The latter results in accurate tracking of regions. Furthermore the method may optionally also perform label propagation taking into account keypoint tracking.

Abstract: The invention detects a change in a subject by detecting the subject from an image, acquiring a feature quantity distribution that indicates shape information of the detected subject, accumulating the shape information that is indicated by the acquired feature quantity distribution and comparing the shape information a predetermined period of time before with the current shape information by using the accumulated shape information. Here, the invention acquires the feature quantity distribution of the subject from a processing target area extracted from an image area that includes the subject. The invention detects a change in the subject by using accumulated shape change information acquired from the shape information. The invention detects a change in the subject by using averaged shape change information obtained by averaging the shape change information.