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公开(公告)号：US06968073B1
公开(公告)日：2005-11-22
申请号：US10132349
申请日：2002-04-24
申请人： Michael E. O'Boyle , Gregory G. Schamp , Owen A. Davies , James C. Demro , Debbie E. Nachtegall , William P. Wernette
发明人： Michael E. O'Boyle , Gregory G. Schamp , Owen A. Davies , James C. Demro , Debbie E. Nachtegall , William P. Wernette
IPC分类号： B60R21/015 , G06K9/00
CPC分类号： G06K9/00362 , B60R21/01538
摘要： An eye-safe light curtain is generated by a plurality of LED's illuminating a cylindrical lens having a corrugated cylindrical surface. A camera generates a first image of an avoidance zone boundary of an air bag inflator with the light curtain off, and a second image of with the light curtain on along the avoidance zone boundary. The first image is subtracted from the second image, and the resulting difference image is binned to enhance signal strength. A penetration of the avoidance zone is classified from features of the leading edge of the binned image, and the air bag inflator is disabled if the avoidance zone is penetrated by an occupant at risk of injury from the deployment thereof. An image of the light curtain may be recovered for high ambient lighting conditions by adapting the exposure time of the camera responsive to the percentage of pixels in a mask region of the first image having values exceeding a threshold.
摘要翻译： 通过照射具有波纹状圆柱面的圆柱形透镜的多个LED产生眼睛安全的光幕。 照相机在关闭光幕时产生气囊充气机的回避区域边界的第一图像，并且沿着回避区域边界产生具有光幕的第二图像。 从第二个图像中减去第一个图像，并将得到的差分图像分样，以增强信号强度。 回避区的穿透被分类为装箱图像的前缘的特征，并且如果逃避区域被部署危险的乘员穿透，则气囊充气机被禁用。 通过根据具有超过阈值的值的第一图像的掩模区域中的像素的百分比来适应照相机的曝光时间，可以恢复光环境的图像以用于高环境照明条件。
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公开(公告)号：US07493202B2
公开(公告)日：2009-02-17
申请号：US11270643
申请日：2005-11-10
申请人： James C. Demro , Tadahiro Igawa , Greg Schamp , Owen Davies
发明人： James C. Demro , Tadahiro Igawa , Greg Schamp , Owen Davies
摘要： An image processing system adapted to image an area around a vehicle includes an image processor adapted to receive information indicative of an image of an area proximate to the vehicle automatically captured by an image capturing device. The image processor includes logic to analyze the information indicative of the image proximate to the vehicle and automatically determine whether the information indicative of the image of an area proximate to the vehicle is indicative of at least one predetermined environment. This image processing system can be utilized for crash prevention and crash recording. This image processing system can be utilized to identify an increased likelihood of crash and/or the occurrence of a crash and/or to implement crash avoidance and/or crash safety devices.
摘要翻译： 适于对车辆周围的区域进行成像的图像处理系统包括图像处理器，其适于接收指示由图像捕获装置自动捕获的靠近车辆的区域的图像的信息。 图像处理器包括用于分析指示邻近车辆的图像的信息的逻辑，并且自动地确定指示邻近车辆的区域的图像的信息是否指示至少一个预定环境。 该图像处理系统可用于防撞和碰撞记录。 该图像处理系统可用于识别崩溃和/或发生碰撞的可能性增加和/或实现防碰撞和/或碰撞安全装置。
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公开(公告)号：US08594370B2
公开(公告)日：2013-11-26
申请号：US11658758
申请日：2005-07-26
IPC分类号： G06K9/00
CPC分类号： G06K9/00805 , B60R21/0134 , B60R21/34 , G06K9/6292
摘要： A range map of a visual scene generated by a stereo vision and associate image processing system, and is filtered to remove objects beyond a region of interest and for which a collision is not possible, and to remove an associated road surface. Objects clustered in range bins are separated by segmentation. A composite range map is generated using principale components analysis and processed with a connected-components sieve filter. Objects are identified using one or more of a harmonic profile and other features using an object recognition processor using a combination of inclusive, exclusive and harmonic networks to generate a classification metric.
摘要翻译： 由立体视觉和相关图像处理系统生成的视觉场景的距离图，并且被过滤以去除感兴趣区域之外的物体，并且不可能碰撞，并且移除相关联的路面。 聚集在范围区域中的对象由分段分隔。 使用主成分分析生成复合范围图，并使用连接组分筛滤器进行处理。 使用使用包含性，排他性和谐波网络的组合的对象识别处理器，使用一个或多个谐波分布和其它特征来识别对象以生成分类度量。
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公开(公告)号：US20090010495A1
公开(公告)日：2009-01-08
申请号：US11658758
申请日：2005-07-26
CPC分类号： G06K9/00805 , B60R21/0134 , B60R21/34 , G06K9/6292
摘要： A range map of a visual scene generated by a stereo vision and associate image processing system, and is filtered to remove objects beyond a region of interest and for which a collision is not possible, and to remove an associated road surface. Objects clustered in range bins are separated by segmentation. A composite range map is generated using principle components analysis and processed with a connected components sieve filter. Objects are identified using one or more of a harmonic profile and other features using an object recognition processor using a combination of inclusive, exclusive and harmonic networks to generate a classification metric.
摘要翻译： 由立体视觉和相关图像处理系统生成的视觉场景的距离图，并且被过滤以去除感兴趣区域之外的物体，并且不可能碰撞，并且移除相关联的路面。 聚集在范围区域中的对象由分段分隔。 使用主成分分析生成复合范围图，并使用连接组件筛滤器进行处理。 使用使用包含性，排他性和谐波网络的组合的对象识别处理器，使用一个或多个谐波分布和其它特征来识别对象以生成分类度量。
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公开(公告)号：US07406181B2
公开(公告)日：2008-07-29
申请号：US10957968
申请日：2004-10-04
IPC分类号： G06K9/00
CPC分类号： B60R21/01538 , B60R21/01556 , G06K9/00201 , G06K9/00362 , G06K9/00832 , G06K9/2036
摘要： A camera (32) captures successive images of light stripes (22) projected onto an object by a light curtain (18) positioned by a light source positioner (28). A background image is subtracted (616) therefrom, and the resulting image is boosted by binning (618), binarized with a thresholding algorithm (620), skeletonized (622), interpolated (624) and stored (626). Interpolated images are acquired for a plurality of light stripes (22). A processor (30) generates (1604) a 3-D surface model from Cartesian coordinates computed for non-zero camera pixels. A volumetric representation is determined (1610) from the offset of the object surface model relative to a model of a proximate surface, e.g. a seating surface (24). The object is classified (1614), e.g. by a trainable pattern recognitions system, responsive to 3-D shape descriptors (1606) of the 3-D surface model and to the volumetric representation (1610) or portions (1612) thereof. The detection of an occupant (14) in a vehicle (12) may be used to control a safety restraint system (36).
摘要翻译： 相机（32）通过由光源定位器（28）定位的光幕（18）捕获投影到物体上的光条纹（22）的连续图像。 从其中减去（616）背景图像，并且通过采样（618）来提高所得到的图像，并用阈值算法（620）进行二值化，内插（624），内插（624）并存储（626）。 针对多条光条（22）获取内插图像。 处理器（30）根据为非零相机像素计算的笛卡尔坐标系生成（1604）三维表面模型。 从对象表面模型的偏移相对于近似表面的模型（例如，物体表面模型）确定体积表示（1610）。 座面（24）。 对象被分类（1614），例如 通过对三维表面模型的三维形状描述符（1606）以及其体积表示（1610）或其部分（1612）的可训练图案识别系统进行响应。 可以使用车辆（12）中的乘员（14）的检测来控制安全限制系统（36）。
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