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    • 2. 发明授权
    • Dynamic lane line detection system and method
    • 动态车道线检测系统及方法
    • US09508016B2
    • 2016-11-29
    • US14317471
    • 2014-06-27
    • Automotive Research & Test Center
    • Hao-Han ChiLi-You Hsu
    • H04N7/18G06K9/00B60W30/12
    • G06K9/00798B60W30/12G06K9/00812
    • A dynamic lane line detection system and method is disclosed herein. Four wide-angle lenses are respectively arranged at four sides of a vehicle and capture distorted images. A vehicular image integration unit transforms the distorted images into an ordinary planar image and presents the planar image on an image display device together with an image of lane lines as information of lane departure warning for the driver. The system undertakes moving obstacle detection, around view monitor, or parking assistant according to images captured by four wide-angle lenses and the gearshift signal, speed signal, turning angle signal received by a vehicular signal receiving device. The present invention uses the wide-angle lenses and the vehicular image integration unit to effectively integrate lane departure information with a panoramic image, whereby to decrease the economical burden of the vehicle buyer and reduce the volume of hardware.
    • 本文公开了一种动态车道线检测系统和方法。 四个广角镜头分别布置在车辆的四面,并捕获扭曲的图像。 车辆图像积分单元将失真的图像变换成普通的平面图像,并将图像显示装置的平面图像与车道线的图像一起呈现为驾驶员的车道偏离警告的信息。 根据由四个广角镜头拍摄的图像以及由车辆信号接收装置接收到的换档信号,速度信号,转向角信号,系统进行障碍物检测,视野监视器或停车助理。 本发明使用广角镜头和车辆图像集成单元来有效地将车道偏离信息与全景图像整合,从而降低车辆买家的经济负担并减少硬件的数量。
    • 3. 发明授权
    • Self-adaptive image edge correction device and method thereof
    • 自适应图像边缘校正装置及其方法
    • US09336573B2
    • 2016-05-10
    • US13967915
    • 2013-08-15
    • Automotive Research & Test Center
    • Chih-Hung YangYu-Sheng LiaoLi-You Hsu
    • G06T5/00
    • G06T5/003G06T2207/20192
    • A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a superimposer, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the superimposer superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The image processing unit then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.
    • 一种自适应图像边缘校正装置及其方法,包括图像获取单元,图像处理单元和图像输出单元。 其中,图像提取单元用于提供原始图像,并且电连接到包括锐化滤波器,叠加器和边缘检测器的图像处理单元。 锐化滤波器将原始图像转换为锐化边缘图像,并且叠加器将原始图像叠加到锐化边缘图像,以形成增强图像。 边缘检测器取出增强图像的边缘,以获得差分边缘图像。 图像处理单元然后根据差分边缘图像的s偏差方向选择性地利用水平校正或垂直校正来校正差分边缘图像,以形成校正图像,并将其提供给图像输出单元以根据需要输出。
    • 4. 发明授权
    • Automatic correction device of vehicle display system and method thereof
    • 车辆显示系统的自动校正装置及其方法
    • US09317106B2
    • 2016-04-19
    • US14073438
    • 2013-11-06
    • Automotive Research & Test Center
    • Yi-Feng SuJia-Xiu LiuYu-Sung Chen
    • G09G5/00G06F3/00G06K9/00
    • G06F3/005G06K9/00248G06K9/00845
    • An automatic correction device of a vehicle display system and method thereof, comprising following steps: firstly, transform an image of road in front into projection information, to calculate a coordinate model, then detect facial features of a driver, to calculate a face rotation angle and a facial features 3-D position of said driver, to estimate a position field of view for said driver looking to front. Then, said position field of view is substituted into an image overlap projection transformation formula, to generate an overlap error correction parameter. Subsequently, utilize said overlap error correction parameter to correct and update said coordinate model. Finally, utilize a display unit to project said corrected coordinate model to front of said driver, so that projection position of said coordinate model overlaps said position field of view of said driver.
    • 一种车辆显示系统的自动校正装置及其方法,包括以下步骤:首先将前方的道路图像变换成投影信息,计算坐标模型,然后检测驾驶员的面部特征,计算面部旋转角度 以及所述驾驶员的面部特征3-D位置,以估计所述驾驶员向前看的位置视野。 然后,将所述位置视场代入图像重叠投影变换公式,以产生重叠误差校正参数。 随后,利用所述重叠误差校正参数来校正和更新所述坐标模型。 最后,利用显示单元将所述校正的坐标模型投影到所述驾驶员的前面,使得所述坐标模型的投影位置与所述驾驶员的所述位置视野重叠。
    • 6. 发明申请
    • AUTOMATIC CORRECTION DEVICE OF VEHICLE DISPLAY SYSTEM AND METHOD THEREOF
    • 车辆显示系统的自动校正装置及其方法
    • US20140160012A1
    • 2014-06-12
    • US14073438
    • 2013-11-06
    • Automotive Research & Test Center
    • Yi-Feng SUJia-Xiu LIUYu-Sung CHEN
    • G06F3/00
    • G06F3/005G06K9/00248G06K9/00845
    • An automatic correction device of a vehicle display system and method thereof, comprising following steps: firstly, transform an image of road in front into projection information, to calculate a coordinate model, then detect facial features of a driver, to calculate a face rotation angle and a facial features 3-D position of said driver, to estimate a position field of view for said driver looking to front. Then, said position field of view is substituted into an image overlap projection transformation formula, to generate an overlap error correction parameter. Subsequently, utilize said overlap error correction parameter to correct and update said coordinate model. Finally, utilize a display unit to project said corrected coordinate model to front of said driver, so that projection position of said coordinate model overlaps said position field of view of said driver.
    • 一种车辆显示系统的自动校正装置及其方法,包括以下步骤:首先将前方的道路图像变换成投影信息,计算坐标模型,然后检测驾驶员的面部特征,计算面部旋转角度 以及所述驾驶员的面部特征3-D位置,以估计所述驾驶员向前看的位置视野。 然后,将所述位置视场代入图像重叠投影变换公式,以产生重叠误差校正参数。 随后,利用所述重叠误差校正参数来校正和更新所述坐标模型。 最后,利用显示单元将所述校正的坐标模型投影到所述驾驶员的前面,使得所述坐标模型的投影位置与所述驾驶员的所述位置视野重叠。
    • 10. 发明授权
    • Automatic driving system able to make driving decisions and method thereof
    • 自动驾驶系统能够做出驾驶决策及其方法
    • US09377781B1
    • 2016-06-28
    • US14584334
    • 2014-12-29
    • AUTOMOTIVE RESEARCH & TEST CENTER
    • Chao-Yang LeePo-Kai TsengChih-Neng Liang
    • G01C22/00G05D1/00G05D1/02
    • G05D1/0088B60W30/09B60W30/0956B60W30/18154B60W30/18163B60W2420/42G05D1/021
    • The present invention discloses an autonomous driving system able to make driving decisions and a method thereof, which decide a safer vehicle movement, wherein a processor generates a left-turn signal, a forward signal and a right-turn signal, receives and vectorizes a vehicle movement signal and object movement signals to determine whether one object is a dangerous or non-dangerous object, inputs the results into a corresponding equation to generate dangerous and non-dangerous object weights, substitutes the dangerous and non-dangerous object weights into a space weight equation to calculate left-turn, forward and right-turn lane section weights, uses the lane section weights to generate left-turn, forward and right-turn signal weights, generates a movement signal or a braking signal according to whether a highest one of the signal weights is over or below preset weight.
    • 本发明公开了一种能够作出驾驶决定的自主驾驶系统及其方法,其决定了更安全的车辆运动,其中处理器产生左转信号,前向信号和右转信号,接收和矢量化车辆 运动信号和物体运动信号,以确定一个物体是否是危险或非危险的物体,将结果输入到相应的方程式中,以生成危险和非危险的物体重量,将危险和非危险的物体重量代入空间重量 用于计算左转,前进和右转车道部分权重的方程式,使用车道部分权重来生成左转弯,前进和右转信号权重,根据是否最高的一个,生成运动信号或制动信号 信号重量超过或低于预设重量。