Abstract:
A three-dimensional object detection device has an image capturing unit, an object detection unit, first and second edge intensity calculation units, a day/night assessment unit and a controller. The day/night assessment unit assess whether it is currently daytime or nighttime when detecting a three-dimensional object based on the captured images. Upon assesses it is daytime, edges of a subject are extracted from a first edge extraction area, including a horizon reference area, and a threshold value for detecting the three-dimensional object is set based on the intensity of the edges in the first edge extraction area. Upon assesses it is nighttime, the edges of a subject are extracted from a second edge extraction area, including a road edge reference area, and a threshold value for detecting the three-dimensional object is set based on the intensity of the edges that are extracted from the second edge extraction area.
Abstract:
An in-vehicle image recognizer effectively detects a moving object from an image even when a lens has grime. In a detection sensitivity adjustor (50) which adjusts detection sensitivity to be increased according to a white turbidity level (U), the detection sensitivity of a vehicle detector (70) (image recognition application execution unit), which detects the other vehicle (6) (moving object) existing in the surrounding area of a vehicle (5) with a predetermined detection sensitivity from the image obtained by an imaging unit (10) disposed in the vehicle (5) to observe the surrounding area of the vehicle (5) through a lens (12) and convert the light signal of the observed surrounding area of the vehicle (5) into an image signal, is corrected based on the attachment level M of the attached matter such as dirt or water drops to the lens (12), which is calculated by an attachment level calculator (26).
Abstract:
An image processing device includes: an image acquisition unit that obtains a photographic image of an area outside of a vehicle captured and output by a camera; a sun decision unit that calculates a sun position which indicates, at least, a solar elevation and makes a decision as to whether or not the solar elevation is equal to or lower than a predetermined elevation; an opacity detection unit that detects clouding of a lens surface of the camera; a vehicle detection unit that detects another vehicle, different from the vehicle, based upon image information of a first image area in the photographic image; and a control unit that suspends detection of the other vehicle by the vehicle detection unit if the opacity detection unit detects opacity in, at least, the first image area and the sun decision unit decides that the solar elevation is equal to or lower than the predetermined elevation.
Abstract:
An in-vehicle surrounding environment recognition device includes: a photographic unit that photographs a road surface around a vehicle and acquires a photographic image; an application execution unit that recognizes another vehicle on the basis of the photographic image, and detects a relative speed of the other vehicle with respect to the vehicle; a reflection determination unit that, on the basis of the photographic image, determines upon presence or absence of a reflection of a background object from the road surface; a warning control unit that controls output of a warning signal on the basis of the result of recognition of the other vehicle; and a warning prevention adjustment unit that suppresses output of the warning signal on the basis of the relative speed of the other vehicle, if it has been determined that there is the reflection of the background object from the road surface.
Abstract:
A water droplet detection device has an image capturing unit and a water droplet detection unit. The image capturing unit has a photographic optical system that an area captures an image of a predetermined area. The water droplet detection unit sets an arbitrary attention point in the captured image, a plurality of first reference points inside an imaginary circle of a predetermined radius having the attention point as a center the imaginary circle, and a plurality of second reference points corresponding to the first reference points outside the imaginary circle. The water droplet detection unit detects edge information between the first reference points and second reference points, and assesses a circularity strength of the edge information to detect a water droplet attached to the photographic optical system. The water droplet detection device can be used with an image conversion unit to form a three-dimensional object detection device.
Abstract:
A camera device includes image capturing device, a lens cleaning device, an adhesion state assessment unit and a controller. The image capturing device is installed on a vehicle and has a lens for forming an image of the vehicle surroundings. The lens cleaning device cleans the lens by spraying a cleaning fluid on the lens in accordance with a predetermined lens cleaning step, in which at least a supply time for supplying cleaning fluid to the lens surface is predetermined. The adhesion state assessment unit is programmed to assess an adhesion state of contamination from a distribution of pixels corresponding to foreign matter adhered to the lens based on a captured image. The controller is programmed to extend the time until a time to start supplying the cleaning fluid in the lens cleaning step as the number of pixels corresponding to foreign matter adhered to the lens increases.
Abstract:
A three-dimensional object detection device has an image capturing unit, an object detection unit, first and second edge intensity calculation units, a day/night assessment unit and a controller. The day/night assessment unit assess whether it is currently daytime or nighttime when detecting a three-dimensional object based on the captured images. Upon assesses it is daytime, edges of a subject are extracted from a first edge extraction area, including a horizon reference area, and a threshold value for detecting the three-dimensional object is set based on the intensity of the edges in the first edge extraction area. Upon assesses it is nighttime, the edges of a subject are extracted from a second edge extraction area, including a road edge reference area, and a threshold value for detecting the three-dimensional object is set based on the intensity of the edges that are extracted from the second edge extraction area.
Abstract:
An in-vehicle surrounding environment recognition device includes: a photographic unit that photographs a road surface around a vehicle and acquires a photographic image; an application execution unit that recognizes another vehicle on the basis of the photographic image, and detects a relative speed of the other vehicle with respect to the vehicle; a reflection determination unit that, on the basis of the photographic image, determines upon presence or absence of a reflection of a background object from the road surface; a warning control unit that controls output of a warning signal on the basis of the result of recognition of the other vehicle; and a warning prevention adjustment unit that suppresses output of the warning signal on the basis of the relative speed of the other vehicle, if it has been determined that there is the reflection of the background object from the road surface.
Abstract:
An image processing device includes: an image acquisition unit that obtains a photographic image of an area outside of a vehicle captured and output by a camera; a sun decision unit that calculates a sun position which indicates, at least, a solar elevation and makes a decision as to whether or not the solar elevation is equal to or lower than a predetermined elevation; an opacity detection unit that detects clouding of a lens surface of the camera; a vehicle detection unit that detects another vehicle, different from the vehicle, based upon image information of a first image area in the photographic image; and a control unit that suspends detection of the other vehicle by the vehicle detection unit if the opacity detection unit detects opacity in, at least, the first image area and the sun decision unit decides that the solar elevation is equal to or lower than the predetermined elevation.
Abstract:
A camera device includes image capturing device, a lens cleaning device, an adhesion state assessment unit and a controller. The image capturing device is installed on a vehicle and has a lens for forming an image of the vehicle surroundings. The lens cleaning device cleans the lens by spraying a cleaning fluid on the lens in accordance with a predetermined lens cleaning step, in which at least a supply time for supplying cleaning fluid to the lens surface is predetermined. The adhesion state assessment unit is programmed to assess an adhesion state of contamination from a distribution of pixels corresponding to foreign matter adhered to the lens based on a captured image. The controller is programmed to extend the time until a time to start supplying the cleaning fluid in the lens cleaning step as the number of pixels corresponding to foreign matter adhered to the lens increases.