Abstract: An on-board device, that outputs a control signal to a cleaning control unit that controls accumulation removing units used to remove accumulations settled on a photographic lens in an on-board camera by adopting a plurality of methods, includes: an accumulation detection unit that detects an accumulation settled on the photographic lens from a photographic image output from the on-board camera when a vehicle speed input thereto is equal to or higher than a predetermined vehicle speed; a selection unit that selects an accumulation removing unit adopting a first method among the accumulation removing units adopting the plurality of methods; and a removal decision unit that makes a decision, based upon the photographic image, as to whether or not the accumulation has been removed from the photographic lens through a removal operation performed by the accumulation removing unit adopting the first method, which has been selected by the selection unit, wherein: if the removal decision unit decides that the accumul

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 three-dimensional object detection has an image capturing device, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit, first and second foreign matter detection units and a controller. The image capturing device captures images rearward of a vehicle. The three-dimensional object detection unit detects three-dimensional objects based on image information. The three-dimensional object assessment unit assesses whether or not a detected three-dimensional object is another vehicle. The foreign matter detection units detect whether or not foreign matter has adhered to a lens based on the change over time in luminance values for each predetermined pixel of the image capturing element and the change over time in the difference between an evaluation value and a reference value. The controller outputs control commands to the other means to suppress the assessment of foreign matter as another vehicle when foreign matter has been detected.

Abstract: A three-dimensional object detection device has an image capturing unit, an object detection unit, a nighttime assessment unit, a luminance detection unit, a luminance peak detection unit and a controller. The image capturing unit captures images rearward of a vehicle. The object detection unit detects a presence of an object from the captured images. The nighttime assessment unit assesses if nighttime has fallen. The luminance detection unit detects a luminance of image areas from the captured image. The luminance peak detection unit detects a peak in the luminance having a luminance gradient that is greater than or equal to a predetermined reference value from among the detected peaks in the luminance as a target luminance peak. The controller controls detection of the object in an image area in which the target luminance peak is detected when an assessment has been made that nighttime has fallen by the nighttime assessment unit.

Abstract: With a simple configuration, a vehicle periphery monitoring system that easily detects pedestrian that has a possibility to collide with a vehicle to which the monitoring system is installed. Based on a change rate in the size of the image of the observation object captured at a preset time interval by an onboard camera 111 and the presence or absence of the deformation of the observation object image between the captured images, it is determined whether the observation object is a pedestrian relatively approaching the vehicle to which the monitoring system is installed.

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 turbidity degree calculating unit calculates a degree of the white turbidity U on a surface of the lens based on a brightness gradient g of an image I (x, y), and a lens cleaning control unit sets a lens cleaning mode for spraying at least one of the cleaning fluid and the compressed air, which is performed by the lens cleaning unit, based on the calculated turbidity degree U.

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: 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: 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 vehicle surroundings monitoring device includes: a captured image acquisition unit that acquires an image of surroundings of a vehicle by an image capturing unit mounted on the vehicle; an attachment detection unit that decides a state in which foreign matter adheres to a lens of the image capturing unit; a state decision unit that decides that the lens is in a lens state in which performance of image recognition is reduced in case that the attachment detection unit decides that the foreign matter adheres to the lens; a lens state recording unit that records the lens state in a recording unit upon termination of a system; and a lens state read-out unit that reads out the lens state recorded in the recording unit upon start of the system.

Abstract: It is provided a state recognition system configured to recognize a state of a traveling road on which a vehicle travels, the state recognition system being configured to: select a substance adhered on a lens of a camera mounted on the vehicle in an image captured by the camera; and determine whether the traveling road is on-road or off-road by determining a type and an amount of the selected adhered substance.

Abstract: An in-vehicle running-environment recognition apparatus including an input unit for inputting an image signal from in-vehicle imaging devices for photographing external environment of a vehicle, an image processing unit for detecting a first image area by processing the image signal, the first image area having a factor which prevents recognition of the external environment, an image determination unit for determining a second image area based on at least any one of size of the first image area, position thereof, and set-up positions of the in-vehicle imaging devices having the first image area, an environment recognition processing being performed in the second image area, the first image area being detected by the image processing unit, and an environment recognition unit for recognizing the external environment of the vehicle based on the second image area.

Abstract: An object recognition device includes; an image-capturing unit mounted to a mobile body; an image generation unit that converts images captured by the image-capturing unit at different time points to corresponding synthesized images as seen vertically downwards from above; a detection unit that compares together a plurality of the synthesized images and detects corresponding regions; and a recognition unit that recognizes an object present upon the road surface from a difference between the corresponding regions.

Abstract: A lens-attached matter detector includes an edge extractor configured to create an edge image based on an input image, divide the edge image into a plurality of areas including a plurality of pixels, and extract an area whose edge intensity is a threshold range as an attention area, a brightness distribution extractor configured to obtain a brightness value of the attention area and a brightness value of a circumference area, a brightness change extractor configured to obtain the brightness value of the attention area and the brightness value of the circumference area for a predetermined time interval, and obtain a time series variation in the brightness value of the attention area based on the brightness value of the attention area, and an attached matter determiner configured to determine the presence or absence of attached matter based on the time series variation in the brightness value of the attention area.

Abstract: A diagnosis device of a dirt removal device for removing dirt of a vehicle mounted camera, including a characteristic quantity extraction part that extracts a characteristic quantity of the image of a particular area photographed by the vehicle mounted camera, a change determination part that determines a degree of changes through time series of the extracted characteristic quantity and a diagnosis part that diagnoses whether the dirt removal device of the vehicle mounted camera is operating normally or abnormally, when the dirt removal device implements a dirt removal operation of the lens surface, based on whether operating signals outputted are inputted and whether the degree of changes of the characteristic quantity inputted from the changes determination part is below or above a set threshold value.

Abstract: An in-vehicle apparatus includes: a camera with a shielded area formed within a photographing area thereof by a light shielding member, which outputs a photographic image of an area surrounding a vehicle photographed through a photographic lens; and an adhering matter detection unit that detects adhering matter settled on the photographic lens based upon images in the shielded area included in a plurality of photographic images output from the camera at different time points.

Abstract: A white turbid state diagnostic apparatus has an imaging part installed on a vehicle and configured to convert a light signal from a periphery of the vehicle into an image signal, a region detection part configured to detect a region from the image signal, the region being constituted by pixels having brightness values over a predetermined brightness and being in a substantially circular shape having a predetermined area or more, a brightness gradient calculation part configured to calculate a brightness gradient on a line which is directed from a predetermined position in a predetermined direction based on brightness values of pixels on the line in the region, and a white turbid level calculation part configured to calculate a white turbid level of the lens based on the brightness gradient.

Abstract: To provide a vehicle peripheral area observation system that can, with a simple configuration, detect a pedestrian who has a possibility of hitting against the vehicle by removing an appearance motion due to water vapor or a light source fluctuation. A water vapor region is detected from motion information and luminance information from videos captured with an on-vehicle camera, and recognition of a moving object in the water vapor region is invalidated for a given period of time.

Abstract: Provided is an in-vehicle image display device capable of providing, from among images of the peripheral area of a vehicle that can change in accordance with the driving state, an image of a part needed by the driver at an appropriate timing so that the driver can recognize the positional relationship between the vehicle and the peripheral area of the vehicle. Images captured with in-vehicle cameras are acquired, and a vehicle periphery image is generated from such images. Then, a collision-warned part of the vehicle that has a possibility of hitting a nearby object is selected based on the vehicle driving state, and the acquired image is processed to generate an enlarged image of the peripheral area of the collision-warned part of the vehicle selected by the collision-warned part selection part. Then, a composite display image, in which the positions of the enlarged image and the vehicle periphery image are displayed in a correlated manner, is generated and displayed.