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-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 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 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: 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: An on-vehicle control device includes: an image acquiring unit that acquires a captured image from an image-capturing device, the image-capturing device capturing an image of surroundings of a vehicle; a judged range dividing unit that divides a predetermined judged range of an image-capturing range of the image-capturing device into a plurality of regions; a feature point extracting unit that extracts a feature point having predetermined characteristics in the surroundings of the vehicle from the image acquired by the image acquiring unit; a point accumulating unit that accumulate points for a region where there is the feature point extracted by the feature point extracting unit, among the plurality of regions, for a plurality of images acquired by the image acquiring unit in time series; and a judging unit that judges whether a foreign matter is adhered to the image-capturing device based on scores resulting from accumulating points of the plurality of regions.

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-mounted environment recognition apparatus including a simple pattern matching unit which extracts an object candidate from an image acquired from a vehicle-mounted image capturing apparatus by using a pattern shape stored in advance and outputs a position of the object candidate, an area change amount prediction unit which calculates a change amount prediction of the extracted object candidate on the basis of an object change amount prediction calculation method set differently for each area of a plurality of areas obtained by dividing the acquired image, detected vehicle behavior information, and an inputted position of the object candidate, and outputs a predicted position of an object, and a tracking unit which tracks the object on the basis of an inputted predicted position of the object.

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: Provided are an information processing device and a processing method both of which are capable of executing processing in response to a traveling situation of a vehicle, thereby securing safety at the time of emergency while securing convenience.

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: Disclosed is an onboard environment-recognition device 100, capable of finding a recognition result with high precision in a state where alarm and vehicle-control are ready for actuation, and realizing recognition of the ambient environment of a vehicle with higher accuracy, that is, for recognizing the ambient environment of the driver's own vehicle on the basis of an image taken by an imaging unit 110. The onboard environment-recognition device includes respective detection units 211 through 213 for detecting plural preset detection elements from the image, and a process-load adjust unit 320 for adjusting detection accuracy of at least one of the plural detection elements according to the state of the driver's own vehicle. Thereby, correction of control timing according to the state of the vehicle by an alarm and vehicle-control unit 400, enhancement in stability, and higher precision of estimated accuracy and calculation accuracy are achieved.

Abstract: An in-car-use multi-application execution device is provided that ensures safety while maintaining convenience by securing operation of a plurality of applications and suppressing occurrence of a termination process within a limited processing capacity without degrading a real-time feature. The in-car-use multi-application execution device dynamically predicts a processing time for each application, and schedules each application on the basis of the predicted processing time. If it is determined that an application failing to complete a process in a prescribed cycle exists as a result of the scheduling, a process is executed that terminates the application or degrades the function of the application on the basis of a preset priority order.

Abstract: A traveling lane detector according to the present invention includes: an imaging unit mounted on a vehicle to take a road surface image; and an image processor performing image processing on the image to detect lane marks on the road surface. The image processor judges whether the vehicle is crossing the lane marks, and, when the vehicle is not crossing any of the lane marks, defines first and second windows, in the image, for detecting the lane marks located respectively on left and right parts of a road surface in front of or behind the vehicle, performs image processing on the image in each of the windows to detect the lane marks, and, when the vehicle is crossing any of the lane marks, defines a third window including the currently-crossed lane mark in the image, performs image processing on the image in the third window to detect the lane mark.

Abstract: A vehicle controller is provided capable of expanding an application range of departure prevention control while suppressing erroneous control. The vehicle controller includes: a vehicle-mounted camera 600 that captures an image in front of a vehicle; and an ECU 610 that decides one vehicle control method from a plurality of vehicle control methods and controls an actuator with the decided vehicle control method. The vehicle-mounted camera includes an area-specific confidence calculation section 400 that divides the image captured into a plurality of areas on a basis of an acquired image by the capturing and a recognized lane, calculates confidence for each divided area and outputs area-specific confidence information, and the ECU decides a vehicle control method in accordance with the area-specific confidence information.