Abstract:
Disclosed are a road line detection method and a road line detection device. The road line detection method comprises a step of obtaining a first disparity map including one or more road regions and a corresponding V-disparity image; a step of sequentially detecting plural sloped line segments in the corresponding V-disparity image according to a big-to-small order of disparities and a big-to-small order of V-values, to serve as plural sequentially adjacent road surfaces; a step of obtaining a second disparity map of plural road line regions of interest corresponding to the plural sloped line segments; and a step of detecting one or more road lines in the second disparity map of the plural road line regions of interest.
Abstract:
A method and an apparatus are used for detecting a road partition, the method comprising: a step of obtaining a disparity top view having a road area; and a step of detecting parallel lines as the road partitions from the disparity top view.
Abstract:
Disclosed are a method and a system for detecting an object on a road. The method comprises a step of simultaneously capturing two depth maps, and then calculating a disparity map; a step of obtaining, based on the disparity map, a V-disparity image by adopting a V-disparity algorithm; a step of detecting an oblique line in the V-disparity image, and then removing points in the disparity map, corresponding to the oblique line so as to acquire a sub-disparity map excluding the road; a step of detecting plural vertical lines in the V-disparity image, and then extracting, for each of the plural vertical lines, points corresponding to this vertical line from the sub-disparity map as an object sub-disparity map corresponding to this vertical line; and a step of merging any two rectangular areas of the object sub-disparity maps approaching each other, into a rectangular object area.
Abstract:
Disclosed are a road line detection method and a road line detection device. The road line detection method comprises a step of obtaining a first disparity map including one or more road regions and a corresponding V-disparity image; a step of sequentially detecting plural sloped line segments in the corresponding V-disparity image according to a big-to-small order of disparities and a big-to-small order of V-values, to serve as plural sequentially adjacent road surfaces; a step of obtaining a second disparity map of plural road line regions of interest corresponding to the plural sloped line segments; and a step of detecting one or more road lines in the second disparity map of the plural road line regions of interest.
Abstract:
Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in a speech database, for an audio file matching an input search term by using an acoustic model serialization code, a phonemic code, a sub-word unit, and a speech recognition result of speech. The speech retrieval apparatus comprises a first conversion device, a first division device, a first speech retrieval unit creation device, a second conversion device, a second division device, a second speech retrieval unit creation device, and a matching device. The speech retrieval method comprises a first conversion step, a first division step, a first speech retrieval unit creation step, a second conversion step, a second division step, a second speech retrieval unit creation step, and a matching step.
Abstract:
A lighting control method for use in a lighting control system is disclosed. The lighting control method includes acquiring an influence coefficient of each of lighting devices on at least one local device based on a measured amount of invisible beams and a measured amount of visible light, the influence coefficient representing an influence level of each of the lighting devices on the local device; and acquiring a dimmer level of each of visible light sources based on a corresponding one of the influence coefficients to control the amount of the visible light measured at a position of the local device such that the measured amount of the visible light reaches or approaches a target lighting amount of the local device.
Abstract:
Disclosed are an intelligent illumination control method, apparatus, and system. The method includes a step of obtaining at least one image of a predetermined lighting area captured by at least one stereo camera; a step of determining, based on the at least one image, one or more target illuminance values of the predetermined lighting area; and a step of determining, based on the one or more target illuminance values, a dimming level of at least one illumination apparatus so that the at least one illumination apparatus works according to the determined dimming level.
Abstract:
A lighting control method for use in a lighting control system is disclosed. The lighting control method includes acquiring an influence coefficient of each of lighting devices on at least one local device based on a measured amount of invisible beams and a measured amount of visible light, the influence coefficient representing an influence level of each of the lighting devices on the local device; and acquiring a dimmer level of each of visible light sources based on a corresponding one of the influence coefficients to control the amount of the visible light measured at a position of the local device such that the measured amount of the visible light reaches or approaches a target lighting amount of the local device.
Abstract:
Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in an audio file database, for one or more target audio files by using one or more input search terms. The speech retrieval apparatus comprises a related document obtaining unit configured to search, in a related document database where documents related to audio files in the audio file database are stored, for one or more related documents by using the search terms; a correspondence audio file obtaining unit configured to search, in the audio file database, for one or more correspondence audio files corresponding to the obtained related documents; and a speech-to-speech search unit configured to search, in the audio file database, for the target audio files by using the obtained correspondence audio files.
Abstract:
Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in a speech database, for an audio file matching an input search term by using an acoustic model serialization code, a phonemic code, a sub-word unit, and a speech recognition result of speech. The speech retrieval apparatus comprises a first conversion device, a first division device, a first speech retrieval unit creation device, a second conversion device, a second division device, a second speech retrieval unit creation device, and a matching device. The speech retrieval method comprises a first conversion step, a first division step, a first speech retrieval unit creation step, a second conversion step, a second division step, a second speech retrieval unit creation step, and a matching step.