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    • 1. 发明授权
    • Systems and methods of vehicle image processing
    • 车辆图像处理系统和方法
    • US08170285B2
    • 2012-05-01
    • US11995798
    • 2006-07-06
    • Takuma NakamoriSachio KobayashiTomoyoshi AokiNaoki Mori
    • Takuma NakamoriSachio KobayashiTomoyoshi AokiNaoki Mori
    • G06K9/00
    • G06K9/00798G06T7/12G06T7/90G06T2207/10016G06T2207/30256
    • An image processing system and the like capable of recognizing a lane mark in a road image with high accuracy are provided even if a light illumination state on a road surface is partially different. According to the image processing system (100) mounted on a vehicle (10), a color component (Rij, Gij, Bij) of the first pixel (Pij) included in an area (Aij) set in the road image is corrected with reference to a color component (Rik, Gik, Bik) of a second pixel (Pik) in view of a fact that it is highly probable that the color component of the second pixel included in the area along with the first pixel is affected by a shadow or light on the road surface. This reduces the effect of the shadow or light on the road surface and the actual color of a road surface portion corresponding to the first pixel can be sufficiently reflected in the color components (Rij, Gij, Bij) of the first pixel (Pij) and consequently in a feature value (Qij). Therefore, a lane mark (M) and its edge (E) are recognized in the road image on the basis of the feature value (Qij) of each pixel (Pij) in the road image.
    • 即使路面上的光照射状态部分不同,也能够提供能够高精度地识别道路图像中的车道标记的图像处理系统等。 根据安装在车辆(10)上的图像处理系统(100),包括在道路图像中设置的区域(Aij)中的第一像素(Pij)的颜色分量(Rij,Gij,Bij)被校正参考 考虑到与第一像素一起包括在该区域中的第二像素的颜色分量非常可能受到阴影影响的事实,第二像素(Pik)的颜色分量(Rik,Gik,Bik) 或在路面上点亮。 这样可以减小阴影或光线对路面的影响,并且可以将与第一像素对应的路面部分的实际颜色充分地反映在第一像素(Pij)的颜色分量(Rij,Gij,Bij)中,并且 因此在特征值(Qij)中。 因此,基于道路图像中的各像素(Pij)的特征量(Qij),在道路图像中识别车道标记(M)及其边缘(E)。
    • 2. 发明申请
    • Vehicle and lane recognition device
    • 车辆和车道识别装置
    • US20090080704A1
    • 2009-03-26
    • US11919641
    • 2006-06-20
    • Naoki MoriSachio KobayashiTomoyoshi AokiTakuma Nakamori
    • Naoki MoriSachio KobayashiTomoyoshi AokiTakuma Nakamori
    • G06K9/00
    • G06K9/00798B60W30/12B60W2420/42G08G1/167
    • There is provided an image acquisition means (2) for acquiring a color image of a road via an imaging means (9) mounted on a vehicle (8), a lane mark detection means (3, 4) for performing processing of detecting lane marks of a plurality of predetermined colors different from each other on the road based on color information of the color image, and outputting a result of the processing as lane mark candidate data, and a selection means (6) for selecting lane mark candidate data corresponding to a lane mark defining an actual lane on which the vehicle (8) is traveling from among at least the lane mark candidate data for the respective predetermined colors output from the lane mark detection means (3, 4), and determining and outputting lane data indicating information of the actual lane based on the selected lane mark candidate data. Therefore, even if there are lane marks of different colors on the road, the lane marks of the respective colors can be recognized appropriately from the color image of the road acquired via the imaging means such as a camera.
    • 提供了一种用于通过安装在车辆(8)上的成像装置(9)获取道路彩色图像的图像获取装置(2),用于执行检测车道标记的处理的车道标记检测装置(3,4) 基于彩色图像的颜色信息在道路上彼此不同的多个预定颜色的多个预定颜色,并将处理结果作为车道标记候选数据输出;以及选择装置(6),用于选择对应于 从车道标记检测装置(3,4)输出的各个预定颜色的至少车道标记候补数据中定义车辆(8)正在行进的实际车道的车道标记,并且确定并输出指示 基于所选择的车道标记候选数据的实际车道的信息。 因此,即使在道路上存在不同颜色的车道标记,也可以从通过诸如照相机的摄像装置获得的道路的彩色图像适当地识别各种颜色的车道标记。
    • 3. 发明授权
    • Vehicle and steering control device for vehicle
    • 车辆车辆和转向控制装置
    • US08340866B2
    • 2012-12-25
    • US12159102
    • 2006-11-14
    • Daisuke HanzawaTetsuo IkedaKiyozumi UnouraTomoyoshi Aoki
    • Daisuke HanzawaTetsuo IkedaKiyozumi UnouraTomoyoshi Aoki
    • B62D6/00
    • B62D1/28B62D15/025
    • A steering control device for a vehicle has a steering assistance means (7) which performs steering assistance processing for driving an actuator (6) so that a vehicle (1) travels along a lane recognized by a lane recognition means (5) from an image acquired by an image acquisition means (4); a side displacement amount calculation means (8) which calculates a displacement amount in the lane width direction between the position of the vehicle (1) and the center of the recognized lane; a complexity calculation means (10) which calculates the complexity of the acquired image; and a steering assistance inhibition means (11) which inhibits, according to the displacement amount in the lane width direction calculated based on the lane recognized from the acquired image at a given time point and the complexity of the acquired image, steering assistance processing based on the lane by the steering assistance means (7). This prevents inappropriate steering control based on an incorrectly recognized lane when performing the steering control of the vehicle so that the vehicle travels along the lane recognized from the road image.
    • 一种用于车辆的转向控制装置具有转向辅助装置(7),其执行用于驱动致动器(6)的转向辅助处理,使得车辆(1)沿着由车道识别装置(5)识别的车道从图像行进 由图像获取装置获取; 计算车辆(1)的位置与识别的车道的中心之间的车道宽度方向上的位移量的侧向位移量计算单元(8) 复杂度计算装置(10),其计算所获取的图像的复杂度; 以及转向辅助禁止装置,其根据在给定时间点从所获取的图像识别的车道计算的车道宽度方向上的位移量和所获取的图像的复杂度来禁止,基于 通过转向辅助装置(7)的车道。 这样当车辆进行转向控制时,可以防止基于不正确识别的车道的不正确的转向控制,使得车辆沿着从道路图像识别的车道行驶。
    • 6. 发明申请
    • Vehicle and road sign recognition device
    • 车辆和道路标志识别装置
    • US20100074469A1
    • 2010-03-25
    • US11919657
    • 2006-05-18
    • Takuma NakamoriSachio KobayashiTomoyoshi AokiNaoki Mori
    • Takuma NakamoriSachio KobayashiTomoyoshi AokiNaoki Mori
    • G06K9/00
    • G06K9/4652G06K9/00798
    • The present invention includes: image capturing means (2) which captures a color image of a road via imaging means (7); area extraction means (6) which extracts areas having a similar color feature value from the captured color image of the road; white balance processing means (5) which performs, for each of the extracted areas, a white balance process of correcting each pixel data in the extracted area so as to reduce the degree of divergence in the level between color components according to a level balance between the color components of the pixel data in the extracted area; and road sign detection means (6) which detects a road sign on the road from the color image subjected to the white balance process. Thus, even if the road illumination state is partially different, it is possible to accurately detect a road sign such as a lane mark from the captured color image of the road via the imaging means such as a camera.
    • 本发明包括:通过成像装置(7)捕捉道路的彩色图像的图像捕获装置(2)。 区域提取装置(6),其从所捕获的道路彩色图像中提取具有相似颜色特征值的区域; 白平衡处理装置(5)对于每个提取区域执行校正所提取的区域中的每个像素数据的白平衡处理,以便根据色彩分量之间的水平平衡来降低色彩分量之间的差异程度 提取区域中的像素数据的颜色分量; 以及从经过白平衡处理的彩色图像检测道路上的道路标志的道路标志检测单元(6)。 因此,即使道路照明状态是部分不同的,也可以通过诸如照相机的摄像装置从所拍摄的道路彩色图像中准确地检测诸如车道线的路标。
    • 8. 发明授权
    • Road sensor system
    • 道路传感器系统
    • US06658137B1
    • 2003-12-02
    • US09534349
    • 2000-03-24
    • Horimitsu YuharaTomoyoshi Aoki
    • Horimitsu YuharaTomoyoshi Aoki
    • G06K900
    • B60R16/0237G01S11/12G08G1/04
    • A road sensor system is provided which comprises at least one imaging sensor, an extraction means that captures brightness values for a plurality of windows corresponding to the area immediately in front of the vehicle from an image that is captured from the imaging sensor and is divided into a plurality of windows. It extracts a reference brightness value on the basis of the plurality of brightness values. The system includes a judgment means that compares the brightness value of at least one other window with the reference brightness value and judges that the window belongs to the road area if the difference is smaller than a predetermined value. The road area is determined by detecting the road surface based on brightness rather than the distance to the road surface.
    • 提供了一种道路传感器系统,其包括至少一个成像传感器,提取装置,其从从成像传感器捕获的图像中捕获与车辆前面的区域对应的多个窗口的亮度值,并且被分成 多个窗口。 它基于多个亮度值提取参考亮度值。 该系统包括将至少一个其他窗口的亮度值与参考亮度值进行比较的判断装置,并且如果差值小于预定值,则判断该窗口属于道路区域。 通过基于亮度而不是到路面的距离检测路面来确定道路面积。
    • 9. 发明授权
    • Object recognition system
    • 对象识别系统
    • US06590521B1
    • 2003-07-08
    • US09691614
    • 2000-10-18
    • Masakazu SakaShigeru InoueHisaya IzawaTomoyoshi Aoki
    • Masakazu SakaShigeru InoueHisaya IzawaTomoyoshi Aoki
    • G01S1393
    • G01S13/867G01S13/42G01S13/86G01S13/931G01S17/023G01S2013/9325G01S2013/9353G01S2013/9367G06K9/00798G06K9/00805G06K9/3241G06K9/4609G06T7/12G06T7/74G06T2207/10028G06T2207/10048G06T2207/20132G06T2207/30256G06T2207/30261
    • An object recognition system including a radar, an image sensor and a controller is provided. The radar determines the position of an object, and the image sensor captures an image of the object. The controller sets a processing area within the image captured by the image sensor based on the position of the object determined by the radar and a predetermined size for the object to be recognized. The controller extracts horizontal and vertical edges from the processing area, and preferably judges whether each of the extracted edges belongs to the object based on characteristics of the object to be recognized. The controller then recognizes the outline of the object based on the edges judged to belong to the object. The object can be recognized by determining upper, lower, left and right ends of the object. On the other hand, the controller recognizes lane lines defining the lane in which the vehicle mounting the system of the invention is running. Thus, the relative position of the object to the lane lines is determined by comparing the intersections between a horizontal line corresponding to the lower end of the object and the lane lines with the left and right ends of the object.
    • 提供了包括雷达,图像传感器和控制器的物体识别系统。 雷达确定对象的位置,并且图像传感器捕获对象的图像。 控制器基于由雷达确定的对象的位置和要识别的对象的预定大小来设置由图像传感器捕获的图像内的处理区域。 控制器从处理区域提取水平和垂直边缘,并且优选地基于要识别的对象的特性来判断每个提取的边缘是否属于对象。 然后,控制器基于被判断为属于对象的边缘来识别对象的轮廓。 可以通过确定对象的上,下,左,右端来识别对象。 另一方面,控制器识别限定本发明的系统的车辆正在行驶的车道的车道线。 因此,通过将对象物体的下端的水平线与车道线与对象的左端和右端的交点进行比较来确定物体对车道线的相对位置。
    • 10. 发明申请
    • VEHICLE, IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND STRUCTURE SYSTEM OF IMAGE PROCESSING SYSTEM
    • 车辆,图像处理系统,图像处理方法,图像处理程序,图像处理系统结构系统
    • US20090284597A1
    • 2009-11-19
    • US11995798
    • 2006-07-06
    • Takuma NakamoriSachio KobayashiTomoyoshi AokiNaoki Mori
    • Takuma NakamoriSachio KobayashiTomoyoshi AokiNaoki Mori
    • G06K9/00H04N7/18
    • G06K9/00798G06T7/12G06T7/90G06T2207/10016G06T2207/30256
    • An image processing system and the like capable of recognizing a lane mark in a road image with high accuracy are provided even if a light illumination state on a road surface is partially different. According to the image processing system (100) mounted on a vehicle (10), a color component (Rij, Gij, Bij) of the first pixel (Pij) included in an area (Aij) set in the road image is corrected with reference to a color component (Rik, Gik, Bik) of a second pixel (Pik) in view of a fact that it is highly probable that the color component of the second pixel included in the area along with the first pixel is affected by a shadow or light on the road surface. This reduces the effect of the shadow or light on the road surface and the actual color of a road surface portion corresponding to the first pixel can be sufficiently reflected in the color components (Rij, Gij, Bij) of the first pixel (Pij) and consequently in a feature value (Qij). Therefore, a lane mark (M) and its edge (E) are recognized in the road image on the basis of the feature value (Qij) of each pixel (Pij) in the road image.
    • 即使路面上的光照射状态部分不同,也能够提供能够高精度地识别道路图像中的车道标记的图像处理系统等。 根据安装在车辆(10)上的图像处理系统(100),包括在道路图像中设置的区域(Aij)中的第一像素(Pij)的颜色分量(Rij,Gij,Bij)被校正参考 考虑到与第一像素一起包括在该区域中的第二像素的颜色分量非常可能受到阴影影响的事实,第二像素(Pik)的颜色分量(Rik,Gik,Bik) 或在路面上点亮。 这样可以减小阴影或光线对路面的影响,并且可以将与第一像素对应的路面部分的实际颜色充分地反映在第一像素(Pij)的颜色分量(Rij,Gij,Bij)中,并且 因此在特征值(Qij)中。 因此,基于道路图像中的各像素(Pij)的特征量(Qij),在道路图像中识别车道标记(M)及其边缘(E)。