Abstract: A three-dimensional object detection device has an image capturing unit, a three-dimensional object detection unit, a host vehicle speed detection unit, a light source detection unit and a controller. The image capturing unit captures images rearward of a vehicle. The three-dimensional object detection unit detects a presence of a three-dimensional object in a detection area, based on the captured images. The host vehicle speed detection unit detects a vehicle traveling speed. The light source detection unit detects a headlight light source of a headlight of another vehicle. The controller compares the traveling speeds of the object and the vehicle upon not detecting the headlight light source, and suppresses detection of the object upon determining one of the object traveling speed being equal to or less than the vehicle traveling speed, and a difference between the object and vehicle traveling speeds being less than a predetermined value.

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: 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: A three-dimensional object detection device has an image capturing unit, detection area setting unit, a three-dimensional object detection unit and a lens state assessment unit. The image capturing unit has a lens for capturing images behind a vehicle. The detection area setting unit sets a detection area behind the vehicle. The three-dimensional object detection unit detects a three-dimensional object that is present in the detection area based on the acquired images. The lens state assessment unit detects if the lens is in a wet state. When a determination is made by that the lens is in a wet state, the detection area setting unit changes a position of the detection area from a first detection area, which is first set as the detection area to a second detection area, in which a display area for a driving lane marker on a driving lane side of the vehicle is removed.

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 three-dimensional object detection device has a camera, a three-dimensional object detection unit, a lens cleaning device, a lens state assessment unit and a controller. The camera has a lens for forming an image of an area rearward of a vehicle. The three-dimensional object detection unit detects a three-dimensional object rearward of the vehicle based on the captured images. The lens cleaning device sprays cleaning fluid to clean the lens of the camera. The lens state assessment unit accesses whether the lens is in a predetermined state subject to control based on a timing at which cleaning fluid is sprayed on the lens. The controller suppresses detection of the three-dimensional object by retaining detection or assessment results for a predetermined length of time that were obtained immediately before the lens was assessed to be in the state subject to control, upon assessment that the lens state is subject to control.

Abstract: A three-dimensional object detection has an image capturing device, a three-dimensional object detection unit, a high-luminance area assessment unit and a controller. The image capturing device captures images of an area including a right-side detection area or a left-side detection area rearward of a vehicle. The three-dimensional object detection unit detects a three-dimensional object based on the images acquired by the image capturing device. The high-luminance area assessment unit accesses a first detection area including a high-luminance area complying with a predetermined reference on either the right-side detection area or the left-side detection area.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit and a control unit. The image conversion unit converts images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within a detection area based on differential waveform information or edge information. The stationary three-dimensional object assessment unit assesses whether the detected three-dimensional object is a shadow of a tree along a road traveled by the host vehicle. The three-dimensional object assessment unit assesses whether the three-dimensional object detected is a vehicle within the detection area.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit and a control unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the predetermined detection area by vehicle width direction detection processing. The three-dimensional object assessment unit assesses whether the three-dimensional object detected is another vehicle that is present within the predetermined detection area.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a movement speed calculation unit, a three-dimensional object assessment unit, a non-detection-object assessment unit and a control unit. The image conversion unit converts a viewpoint of the images to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the predetermined detection area based on difference waveform information. The movement speed calculation unit calculates a movement speed of the three-dimensional object. The non-detection-object assessment unit detect san amount of variability in the movement speed of the three-dimensional object, and assesses whether the three-dimensional object is a non-detection object based on the amount of variability.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit and a light source detection unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the adjacent lane. The three-dimensional object detection unit determines the presence of the three-dimensional object within the adjacent lane-when the difference waveform information is at a threshold value or higher. The three-dimensional object detection unit set a threshold value lower so that the three-dimensional object is more readily detected in a rearward area than forward area with respect to a line connecting the light source and the image capturing unit.

Abstract: A three-dimensional object detection device includes an image capturing unit, a detection area setting unit, an image conversion unit, a three-dimensional object detection unit, a reference image area setting unit, a contour information extraction unit, a reference sharpness calculation unit and a subject sharpness calculation unit. The image conversion unit converts a viewpoint of an image obtained by the image capturing unit to create a bird's-eye view image. The reference image area unit sets a reference image area for extracting contour information by the contour information extraction unit. The reference sharpness calculation unit calculates a reference sharpness using contour information of the reference image area. The subject sharpness calculation unit calculates a subject sharpness using contour information of the detection area.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a light source detection unit and a control unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the adjacent lane. The three-dimensional object detection unit determines the presence of the three-dimensional object within the adjacent lane-when the difference waveform information is at a threshold value or higher. The control unit set a threshold value higher so that the three-dimensional object is more difficult to detect in a forward area than rearward area with respect to a line connecting the light source and the image capturing unit when the light source has been detected.

Abstract: A three-dimensional object detection device can enhance the accuracy in detecting a three-dimensional object regardless of the brightness in the detection environment. The device has an image capture means that captures an image of a predetermined area and an image conversion means that converts the image through a viewpoint conversion into birds-eye view image. A first three-dimensional object detection means aligns positions of bird's-eye view images at different times obtained by the image conversion means, counts the number of pixels that exhibit a predetermined difference on a differential image of the aligned bird's-eye view images to generate a frequency distribution thereby creating differential waveform information, and detects a three-dimensional object on the basis of the differential waveform information.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a light source detection unit a degree-of-certainty assessment unit and a control unit. The degree-of-certainty assessment unit assesses a degree of certainty that a light source is headlights of another vehicle in two lanes over. The control unit sets a threshold value so that the three-dimensional object is more difficult to detect in a forward area of a line connecting the light source and the image capturing unit in the detection frame when the degree of certainty is at a predetermined value or higher, and sets a threshold value so that the three-dimensional object is more difficult to detect in progression from a center side toward front or rear ends of the detection frame when the degree of certainty is less than a predetermined value.

Abstract: A periodic stationary object detection system extracts a feature point of a three-dimensional object from image data on a predetermined region of a bird's eye view image for each of multiple sub regions included in the predetermined region, calculates waveform data corresponding to a distribution of the feature points in the predetermined region on the bird's eye view image, and judges whether or not the three-dimensional object having the extracted feature point is a periodic stationary object candidate on the basis of whether or not peak information of the waveform data is equal to or larger than a predetermined threshold value.

Abstract: A three-dimensional object detection device basically includes a three-dimensional object detection unit, a natural object assessment unit and a control unit. The three-dimensional object detection unit detects three-dimensional objects based on image information of a rear of a vehicle from a camera. The natural object assessment unit assesses that a detected three-dimensional object is a natural object, such as a plant or snow, based on an irregularity evaluation value calculated based on a first pixel number of first pixels representing a first predetermined differential in the differential image containing the detected three-dimensional object and a second pixel number of second pixels corresponding to the three-dimensional object and representing a second predetermined differential greater than the first predetermined differential.

Abstract: A driving assistance device is provided with a turning state detection unit, an imaging unit, a solid object detection unit and a detection region modification unit. When the turning state detection unit detects that a host vehicle is in a turning state, the detection region modification unit alters a position of a detection region with respect to the host vehicle, or alters a shape or an area of the detection region based on the turning state of the host vehicle. For example, the detection region modification unit sets a shorter region length of the detection region as the turning radius of the host vehicle becomes smaller. Hereby, the region closest to the host vehicle is set, to a limited extent, as the detection regions.

Abstract: A solid object detection device detects solid objects in the periphery of a vehicle. A camera captures images including detection regions set in adjacent traffic lanes to the rear of the vehicle. A solid object assessment unit assesses whether or not a solid object is present in the detection regions. A lateral position detection unit detects a distance between the vehicle position and a dividing line that divides traffic lanes. A region setting unit enlarges the detection region on the side of the dividing line by a greater amount correspondingly with respect to an increase in the distance to the dividing line. A traffic lane change detection unit detects a traffic lane change made by the vehicle. Upon detecting a traffic lane change by the vehicle, a smaller enlarged amount is used when enlarging the size of the predetermined region outward in the vehicle-width direction.

Abstract: A moving-body-detecting device is provided with an image capture unit, an image conversion unit, a three-dimensional-object-detecting unit, a turn detecting unit, and a control unit. The image capture unit captures images of the rear side of a vehicle. The image conversion unit performs viewpoint conversion of the captured images into bird's-eye view images. The three-dimensional-object-detecting unit generates differential waveform information based on a differential image of bird's-eye view images taken as different points in time, and detects three-dimensional objects based on the differential waveform information. The control unit suppresses detection of the three-dimensional object based on the differential waveform information, in cases in which turning of the vehicle has been detected as compared with cases in which the vehicle is not turning.