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    • 6. 发明公开
    • SYSTEMS AND METHODS FOR BRAKING A VEHICLE BASED ON A DETECTED OBJECT
    • 系统和方法制动车辆基于公认点
    • EP3146506A2
    • 2017-03-29
    • EP15770635.9
    • 2015-05-22
    • Mobileye Vision Technologies Ltd.
    • DAGAN, Erez
    • G06T7/20
    • Systems and methods are provided for detecting an object and causing a vehicle to brake based on the detection. In one implementation, an object detecting and braking system for a vehicle includes at least one image capture device configured to acquire a plurality of images of an area including an object in front of the vehicle. The system includes at least one processing device programmed to perform a first image analysis to determine a first estimated time-to-collision of the vehicle with the object, and to perform a second image analysis to determine a second estimated time-to-collision of the vehicle with the object. The processing device is also programmed to calculate a difference between the first estimated time-to-collision and the second estimated time-to-collision, to determine that the difference does not exceed a predetermined threshold, and to cause the vehicle to brake based on the determination that the difference does not exceed the predetermined threshold.
    • 提供了用于对象检测和基于检测使车辆制动系统和方法。 在一个实现中,向对象检测和制动系统的车辆包括被配置为获取一个区域包含在车辆前方的物体的图像的多个至少一个图像捕获装置。 该系统包括被编程以执行第一图像分析来确定矿至少一个处理设备的第一估计时间 - 碰撞与对象车辆的,并执行第二图像分析来确定矿的第二估计时间 - 碰撞的 车辆与所述物体。 所述处理设备被编程为以计算的差的第一估计时间 - 碰撞和第二估计时间 - 碰撞,确定性矿并的差异不超过预定阈值,并且使所述车辆制动基于 决心做的差的大小限制了预定阈值。
    • 7. 发明公开
    • ADVANCED DRIVER ASSISTANCE SYSTEM BASED ON RADAR-CUED VISUAL IMAGING
    • 维也纳FAHRERASSISTENZSYSTEM BASIEREND AUFRADARGESTÜTZTERVISUELLER ABBILDUNG
    • EP3108264A2
    • 2016-12-28
    • EP15726290.8
    • 2015-02-20
    • Mobileye Vision Technologies Ltd.
    • ROSENBLUM, KevinDAGAN, Erez
    • G01S13/86
    • G01S13/931G01S13/426G01S13/86G01S13/867G01S13/87G01S2013/9342G01S2013/9346G01S2013/935G01S2013/9357G01S2013/9382G06K9/00791G06T7/00G06T7/215G06T2207/30261
    • A navigation system for a vehicle may include at least one image capture device configured to acquire a plurality of images of an environment of a vehicle and a radar sensor to detect an object in the environment of the vehicle and to provide and output including range information indicative of at least one of a range or range rate between the vehicle and the object. The system may also include at least one processing device programmed to: receive the plurality of images from the at least one image capture device; receive the output from the radar sensor; determine, for each of a plurality of image segments in a first image, from among the plurality of images, and corresponding image segments in a second image, from among the plurality of images, an indicator of optical flow; use range information determined based on the output of the radar sensor together with the indicators of optical flow determined for each of the plurality of image segments in the first image and the corresponding image segments in the second image to calculate for each of a plurality of imaged regions at least one value indicative of a focus of expansion; identify a target object region, including at least a subset of the plurality of imaged regions that share a substantially similar focus of expansion; and cause a system response based on the identified target object region.
    • 用于车辆的导航系统可以包括至少一个图像捕获装置,其被配置为获取车辆环境的多个图像和雷达传感器,用于检测车辆环境中的物体,并且提供和输出包括指示的范围信息 在车辆和物体之间的范围或范围速率中的至少一个。 所述系统还可以包括至少一个处理装置,其被编程为:从所述至少一个图像捕获装置接收所述多个图像; 接收雷达传感器的输出; 对于所述多个图像中的多个图像中的多个图像片段中的每一个以及所述多个图像中的来自所述多个图像的对应图像片段,确定光学流量的指示符; 基于雷达传感器的输出确定的使用范围信息以及为第一图像中的多个图像段中的每一个确定的光流的指示符以及第二图像中的对应图像段中的每一个所计算的多个成像 区域至少有一个表示扩张重点的值; 识别目标对象区域,包括共享基本相似的扩展焦点的多个成像区域的至少一个子集; 并基于所识别的目标对象区域引起系统响应。
    • 8. 发明公开
    • Hazard detection in a scene with moving shadows
    • Gefahrenerkennung在einer Szene mit bewegten Schatten
    • EP2958054A2
    • 2015-12-23
    • EP15275152.5
    • 2015-06-12
    • Mobileye Vision Technologies Ltd.
    • STEIN, Gideon PDAGAN, Erez
    • G06K9/00
    • G06K9/00805G06K9/00798G06T7/248G06T7/40G06T2207/10016G06T2207/30256G06T2207/30261H04N7/183
    • Computerized methods are performable by a driver assistance system while the host vehicle (18) is moving. The driver assistance system includes a camera (12) connectible to a processor (30). First and second image frames (15) are captured from the field of view of the camera (30). Corresponding image points of the road are tracked from the first image frame to the second image frame. Image motion between the corresponding image points of the road is processed to detect a hazard in the road. The corresponding image points are determined to be of a moving shadow cast on the road to avoid a false positive detection of a hazard in the road or the corresponding image points are determined not to be of a moving shadow cast on the road to verify detection of a hazard in the road.
    • 当主车辆(18)移动时,计算机化方法可由驾驶员辅助系统执行。 驾驶员辅助系统包括可连接到处理器(30)的照相机(12)。 从照相机(30)的视野中捕获第一和第二图像帧(15)。 道路的相应图像点从第一图像帧跟踪到第二图像帧。 处理道路对应图像点之间的图像运动,以检测道路中的危险。 相应的图像点被确定为在道路上投射的移动阴影,以避免对道路中的危险的假阳性检测,或者相应的图像点被确定为不是在道路上投射的移动阴影,以验证检测 道路上的危险。