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    • 1. 发明申请
    • In-Vehicle Camera and In-Vehicle Camera System
    • 车载相机和车载相机系统
    • US20130335561A1
    • 2013-12-19
    • US13983289
    • 2012-03-01
    • Naoki KourogiTatsuhiko Monji
    • Naoki KourogiTatsuhiko Monji
    • H04N7/18
    • H04N7/18B60R21/0134G08G1/165
    • In the present invention, images at a front side or a rear side of a vehicle are obtained from a plurality of image capturing devices and a disparity and a distance to the captured object are calculated from the images, if the disparity is not sufficiently obtained, pattern light is irradiated onto a capturing object and an image of the object onto which the pattern light is irradiated is obtained again from the plurality of image capturing devices and the disparity and the distance to the captured object are calculated. Therefore, it is possible to provide an in-vehicle camera and system that recognizes an obstacle even in a situation where it is difficult to obtain the disparity of the obstacle around the vehicle.
    • 在本发明中,从多个图像拍摄装置获得车辆的前侧或后侧的图像,并且如果不能充分获得视差,则根据图像计算与拍摄对象的视差和距离, 图案光被照射到拍摄对象上,并且从多个图像捕获装置再次获得照射有图案光的对象的图像,并且计算视差和到被拍摄对象的距离。 因此,即使在难以获得车辆周围的障碍物的不一致的情况下,也可以提供识别障碍物的车载摄像机和系统。
    • 6. 发明申请
    • Three-Dimensional Object Detecting Device
    • 三维物体检测装置
    • US20090226035A1
    • 2009-09-10
    • US12223638
    • 2007-02-07
    • Akira IihoshiYasushi UedaSatoko FurukiZhencheng HuKeiichi UchimuraNaoki Kourogi
    • Akira IihoshiYasushi UedaSatoko FurukiZhencheng HuKeiichi UchimuraNaoki Kourogi
    • G06K9/00
    • G06K9/00234G06K9/00255G06T7/521G06T7/74G06T2207/30196G06T2207/30268
    • A three-dimensional-object can be effectively detected. A pair of image capture devices capture a three-dimensional-object and calculate disparity component data of subdivided-image regions, respectively. On a basis of the disparity component data, gray scale values indicative of distances from the image capture device are calculated and a gray scale image in which each region has its corresponding gray scale value is generated. A model of the three-dimensional-object is defined and correlation values is calculated to show the degree of a similarity between the model and the image subdivided regions in the gray scale image. The model is a two-dimensional image with a shaping characteristic when the three-dimensional object is viewed from positions of the image capture devices while each subdivided region of the two-dimensional image has a gray scale value indicative of a distance from the image capture device at a portion corresponding to the three-dimensional object. The correlation values are calculated on a basis of gray scale values of the model and those of the image region in the gray scale image. The model and an image region with the highest correlation value are detected in the gray scale image, so that a three-dimensional image is detected.
    • 可以有效地检测三维物体。 一对图像捕获装置捕获三维对象并分别计算细分图像区域的视差分量数据。 在视差分量数据的基础上,计算指示与图像拍摄装置的距离的灰度值,并生成其中每个区域具有其对应的灰度值的灰度图像。 定义三维对象的模型,并计算相关值,以显示灰度图像中模型与图像细分区域之间的相似度。 该模型是当从图像捕获装置的位置观看三维物体时具有成形特征的二维图像,而二维图像的每个细分区域具有指示距离图像捕获的距离的灰度值 设备在对应于三维物体的部分。 基于灰度图像的灰度值和图像区域的灰度值计算相关值。 在灰度图像中检测出具有最高相关值的模型和图像区域,从而检测出三维图像。
    • 7. 发明授权
    • In-vehicle camera and in-vehicle camera system
    • 车载摄像头和车载摄像头系统
    • US08878935B2
    • 2014-11-04
    • US13983289
    • 2012-03-01
    • Naoki KourogiTatsuhiko Monji
    • Naoki KourogiTatsuhiko Monji
    • H04N7/18G06K9/00H04N5/225G08G1/16B60R21/0134
    • H04N7/18B60R21/0134G08G1/165
    • In the present invention, images at a front side or a rear side of a vehicle are obtained from a plurality of image capturing devices and a disparity and a distance to the captured object are calculated from the images, if the disparity is not sufficiently obtained, pattern light is irradiated onto a capturing object and an image of the object onto which the pattern light is irradiated is obtained again from the plurality of image capturing devices and the disparity and the distance to the captured object are calculated. Therefore, it is possible to provide an in-vehicle camera and system that recognizes an obstacle even in a situation where it is difficult to obtain the disparity of the obstacle around the vehicle.
    • 在本发明中,从多个图像拍摄装置获得车辆的前侧或后侧的图像,并且如果不能充分获得视差,则根据图像计算与拍摄对象的视差和距离, 图案光被照射到拍摄对象上,并且从多个图像捕获装置再次获得照射有图案光的对象的图像,并且计算视差和到被拍摄对象的距离。 因此,即使在难以获得车辆周围的障碍物的不一致的情况下,也可以提供识别障碍物的车载摄像机和系统。
    • 8. 发明授权
    • Three-dimensional object detecting device
    • 三维物体检测装置
    • US08396283B2
    • 2013-03-12
    • US12223638
    • 2007-02-07
    • Akira IihoshiYasushi UedaSatoko FurukiZhencheng HuKeiichi UchimuraNaoki Kourogi
    • Akira IihoshiYasushi UedaSatoko FurukiZhencheng HuKeiichi UchimuraNaoki Kourogi
    • G06K9/00G06K9/32
    • G06K9/00234G06K9/00255G06T7/521G06T7/74G06T2207/30196G06T2207/30268
    • A three-dimensional-object can be effectively detected. A pair of image capture devices capture a three-dimensional-object and calculate disparity component data of subdivided-image regions, respectively. On a basis of the disparity component data, gray scale values indicative of distances from the image capture device are calculated and a gray scale image in which each region has its corresponding gray scale value is generated. A model of the three-dimensional-object is defined and correlation values is calculated to show the degree of a similarity between the model and the image subdivided regions in the gray scale image. The model is a two-dimensional image with a shaping characteristic when the three-dimensional object is viewed from positions of the image capture devices while each subdivided region of the two-dimensional image has a gray scale value indicative of a distance from the image capture device at a portion corresponding to the three-dimensional object. The correlation values are calculated on a basis of gray scale values of the model and those of the image region in the gray scale image. The model and an image region with the highest correlation value are detected in the gray scale image, so that a three-dimensional image is detected.
    • 可以有效地检测三维物体。 一对图像捕获装置捕获三维对象并分别计算细分图像区域的视差分量数据。 在视差分量数据的基础上,计算指示与图像拍摄装置的距离的灰度值,并生成其中每个区域具有其对应的灰度值的灰度图像。 定义三维对象的模型,并计算相关值,以显示灰度图像中模型与图像细分区域之间的相似度。 该模型是当从图像捕获装置的位置观看三维物体时具有成形特征的二维图像,而二维图像的每个细分区域具有指示距离图像捕获的距离的灰度值 设备在对应于三维物体的部分。 基于灰度图像的灰度值和图像区域的灰度值计算相关值。 在灰度图像中检测出具有最高相关值的模型和图像区域,从而检测出三维图像。