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: 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 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: 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: A vehicle-mounted environment recognition device includes an imaging unit that acquires an image taken by an imaging device; an image self-diagnosis unit that diagnoses contamination of a lens of the imaging device with respect to the image acquired by the imaging unit; an application execution unit that executes an application selected from a predetermined application group; and a fail determination unit that determines, on the basis of a diagnosis result from the image self-diagnosis unit, whether the lens contamination state is in an endurance range of the application and, if within the endurance range, sets the operation of the application executed by the application execution unit to a suppression mode. If outside the endurance range, contamination removal control is implemented, or a fail determination is made for the application. Contamination removal and fail determination can be implemented utilizing parameter adjustment and hardware, or an image-based self-diagnosis can be conducted.

Abstract: A stereo camera apparatus which carries out distance measuring stably and with high accuracy by making measuring distance resolution variable according to a distance to an object is provided. A stereo camera apparatus 1 takes in two images, changes resolution of a partial area of each image that is taken in, and calculates a distance from a vehicle to an object that is imaged in the partial area, based on disparity of the partial area of each image in which resolution is changed. Thus, even when the object exists at a long distance and is small in size, distance measuring processing can be carried out stably.

Abstract: Provided is an image processing device capable of an image processing with using a general-purpose image processing hardware in accordance with video input without mediation of a CPU. The image processing device includes: a storage medium for storing an image data acquired by video inputting unit for acquiring video images; a CPU for a general processing; image processing unit for processing the image data stored in the storage medium; setting unit for determining a processing content of the image processing unit; a command list indicating an order of setting and activating the image processing unit; and command writing unit for setting and activating the image processing unit based on the command list in synchronization with input of the image data from the video inputting unit without mediation of the CPU.

Abstract: Means which enables image conversion in which a plurality of conversion results can be output without once saving all of video-image data, which has been input from image-pickup means, in a storage medium is provided. A single line memory having a plurality of lines is used while switching the role thereof for a reading use by a video-image converting means and a use for inputting image data from the image-pickup means. The image converting means obtains an input image, which is in the line memory, and carries out conversion of the input image based on a conversion specifying means interpreted by an instruction decoder.

Abstract: A parking frame drawn on a road surface is reliably detected. An imager (10) installed on a vehicle (1) captures an image (I) including at least a road surface around the vehicle (1). A candidate white-line area detector (30) detects, from the captured image (I), a candidate white-line area which is possibly a part of a parking frame. A parking-frame-similitude calculator (40) calculates the brightness distribution of the detected candidate white-line area and the surroundings of boundary points of a road surface. When the brightness distribution satisfies a certain condition, the parking-frame similitude or the degree to which the candidate white-line area forms a parking frame, is determined to be low. When a parking-frame similitude of the candidate white-line area forming a parking frame is detected in the image (I) by a parking-frame detector (60), the credibility (U) for the detected parking frame is set low.

Abstract: Provided is an image processing device capable of an image processing with using a general-purpose image processing hardware in accordance with video input without mediation of a CPU. The image processing device includes: a storage medium for storing an image data acquired by video inputting unit for acquiring video images; a CPU for a general processing; image processing unit for processing the image data stored in the storage medium; setting unit for determining a processing content of the image processing unit; a command list indicating an order of setting and activating the image processing unit; and command writing unit for setting and activating the image processing unit based on the command list in synchronization with input of the image data from the video inputting unit without mediation of the CPU.

Abstract: An in-vehicle device includes: an image acquisition unit that obtains a captured image from a camera that captures, via a camera lens, an image of a surrounding environment around a vehicle; an accumulation detection unit that individually detects a plurality of types of accumulation settled at the camera lens based upon the captured image; an image recognition unit that recognizes an object image, expressing a specific object present in the surrounding environment, in the captured image; a detection results integrating unit that calculates integrated detection results by integrating a plurality of sets of detection results based upon various sets of detection results pertaining to detection of the plurality of types of accumulation provided by the accumulation detection unit; and an operation control unit that controls operation executed by the image recognition unit based upon the integrated detection results.

Abstract: Means which enables image conversion in which a plurality of conversion results can be output without once saving all of video-image data, which has been input from image-pickup means, in a storage medium is provided. A single line memory having a plurality of lines is used while switching the role thereof for a reading use by a video-image converting means and a use for inputting image data from the image-pickup means. The image converting means obtains an input image, which is in the line memory, and carries out conversion of the input image based on a conversion specifying means interpreted by an instruction decoder.

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: 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 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 lane departure judgment apparatus is configured to detect a lane-dividing line based on image information output from an image-capturing device that acquires an image of an area outside a vehicle, and to judge whether or not departure of the vehicle from the lane-dividing line occurs based on a distance between the vehicle and the lane-dividing line, wherein when an angle of the vehicle with respect to the lane-dividing line thus detected is constant, the distance between the vehicle and the lane-dividing line to be used to judge whether or not departure of the vehicle occurs is changed according to whether the vehicle is being driven on a road having a lane-dividing width that is greater than a predetermined width or on a road having a lane-dividing width that is smaller than a predetermined width.

Abstract: An on-vehicle image processor includes an imager mounted on a vehicle, an image convertor and compositor that converts images imaged by the imager into overhead images, a white line candidate area detector that detects a white line candidate area estimated to constitute a parking frame, an endpoint position detector that detects positions of endpoints, a vehicle behavior measurer that measures a movement amount of the vehicle, an endpoint movement position predictor that predicts moved positions of the endpoints detected by endpoint position detector, an endpoint movement amount judger, an endpoint position storage, a distance calculator that judges a degree of proximity of the endpoints, an information output device, an endpoint position oblivion judger that deletes the position of the endpoints satisfying a predetermined condition, a parking frame detector that detects a parking frame from the image, an accelerator opening degree detector and a vehicle behavior controller.

Abstract: A stereo camera apparatus which carries out distance measuring stably and with high accuracy by making measuring distance resolution variable according to a distance to an object is provided. A stereo camera apparatus 1 takes in two images, changes resolution of a partial area of each image that is taken in, and calculates a distance from a vehicle to an object that is imaged in the partial area, based on disparity of the partial area of each image in which resolution is changed. Thus, even when the object exists at a long distance and is small in size, distance measuring processing can be carried out stably.

Abstract: A vehicle-mounted environment recognition device includes an imaging unit that acquires an image taken by an imaging device; an image self-diagnosis unit that diagnoses contamination of a lens of the imaging device with respect to the image acquired by the imaging unit; an application execution unit that executes an application selected from a predetermined application group; and a fail determination unit that determines, on the basis of a diagnosis result from the image self-diagnosis unit, whether the lens contamination state is in an endurance range of the application and, if within the endurance range, sets the operation of the application executed by the application execution unit to a suppression mode. If outside the endurance range, contamination removal control is implemented, or a fail determination is made for the application. Contamination removal and fail determination can be implemented utilizing parameter adjustment and hardware, or an image-based self-diagnosis can be conducted.

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