Patent application number | Description | Published |
20140112580 | EYELID DETECTION DEVICE - An ECU which is connected to an image sensor and an illuminance sensor includes an eyelid detection unit that detects the positions of the upper and lower eyelids from a face image, an eyelid determination unit that determines the positions of the upper and lower eyelids detected by the eyelid detection unit, and an eye opening degree calculation unit that calculates the degree of eye opening. The eyelid determination unit searches for a red-eye candidate in the range in which the skin is assumed to be present from the positions of the upper and lower eyelids detected by the eyelid detection unit. When the red-eye candidate is searched in the range, the eyelid determination unit determines that the eyelid detection unit falsely detects the positions of the upper and lower eyelids. | 04-24-2014 |
20140133705 | RED-EYE DETERMINATION DEVICE - A black eye position existence probability density distribution learning unit that records a black eye position which is detected in the daytime to a black eye position existence probability density distribution, a red-eye candidate detection unit that detects red-eye candidates from the image of the driver at night, and a red-eye determination unit that determines the red eye from the red-eye candidates. The red-eye determination unit determines the red eye on the basis of the relationship between a change in the direction of the face and the behavior of the red-eye candidate and determines, as the red eye, the red-eye candidate disposed at the position of high black eye position existence probability density with reference to the black eye position existence probability density distribution. | 05-15-2014 |
20140140577 | EYELID DETECTION DEVICE | 05-22-2014 |
20140147019 | RED-EYE DETECTION DEVICE - An ECU connected to an image sensor includes a face position and face feature point detection unit that detects the feature points of the face of the driver, a red-eye detection unit that detects the red eye with template matching using a red-eye template, an eye opening degree calculation unit that calculates the degree of eye opening, a relative eye opening degree calculation unit that calculates the relative degree of eye opening which is 0% in an eye-closed state and is 100% in an eye-open state, and a red-eye template update unit that generates a red-eye template on the basis of the relative degree of eye opening and updates a red-eye template used for the next template matching with the generated red-eye template. | 05-29-2014 |
20150227800 | MARKING LINE DETECTION SYSTEM AND MARKING LINE DETECTION METHOD - A marking line detection system includes an imaging device and an ECU. An information extraction unit of the ECU is configured to extract depth distance information from the imaging device to an imaging object based on image information in an imaging area captured by the imaging device. A road surface area identification unit of the ECU is configured to identify a distant road surface area based on the depth distance information, the distant road surface area being a road surface area that excludes an immediately-preceding road surface area of the vehicle in the image information and is more distant from the vehicle than the immediately-preceding road surface area. A marking line detection unit of the ECU is configured to detect a marking line in the distant road surface area based on image information corresponding to a position of the distant road surface area. | 08-13-2015 |
20150269446 | BOUNDARY DETECTION APPARATUS AND BOUNDARY DETECTION METHOD - A boundary detection apparatus includes an acquisition unit, an extraction unit and a detection unit. The acquisition unit acquires a disparity image based on information obtained by capturing an image of a peripheral environment of a vehicle. The extraction unit extracts predetermined pixel regions from first and second pixel regions of the disparity image based on a disparity gradient direction of the first pixel region and a disparity gradient direction of the second pixel region. The detection unit detects a boundary of a step surface existing alongside a road by joining together at least some of the predetermined pixel regions extracted by the extraction unit. The first and second pixel regions sandwich the predetermined pixel region. An angle formed by the disparity gradient direction of the first pixel region and the disparity gradient direction of the second pixel region is within a predetermined angular range of a right angle. | 09-24-2015 |
20150278613 | LANE BOUNDARY MARKING LINE DETECTION DEVICE AND ELECTRONIC CONTROL DEVICE - A lane boundary marking line detection device includes an imaging device, a lane boundary detection unit, a lane boundary marking line search unit. The lane boundary detection unit detects first and second lane boundaries based on image information in an imaging area. The lane boundary marking line search unit searches for a lane boundary marking line on a road surface on a second lane boundary's side based on a position of the first lane boundary, sets search lines on the road surface on the second lane boundary's side based on shape information on the first lane boundary, and acquires search line brightness information based on the image information. When not determining that there is the search line that is most probable as the lane boundary marking line, the lane boundary marking line search unit does not select any of the search lines as the lane boundary marking line candidate line. | 10-01-2015 |
20150367781 | LANE BOUNDARY ESTIMATION DEVICE AND LANE BOUNDARY ESTIMATION METHOD - A lane boundary estimation device includes: a level difference detection unit detecting a first part of a solid lane boundary; a base image setting unit setting a first image area in a most distant area in the first part as a template image; a search area setting unit setting a search area from the most distant area; and a comparison determination unit detecting a boundary candidate point for a second part of the solid lane boundary by performing template comparison in the search area. When a detection evaluation value of the first part is lower than a predetermined value and the search area includes a low-evaluation search area, the base image setting unit re-sets a second image area, nearer to a vehicle than the low-evaluation search area, as the template image. The search area setting unit skips the low-evaluation search area and re-sets a new search area. | 12-24-2015 |